Software Development Manager Machine Learning Jobs in Bengaluru

Information Developer Experience: 3 8 years Location: Bengaluru Department: Product & Engineering Join VuNet Shape the Way the World Understands Observability VuNet is redefining digital experiences through Business Journey Observability, harnessing the power of Big Data and Machine Learning. Our platform monitors 28+ billion transactions monthly, enhancing operational resilience and customer satisfaction across India s top banks and financial institutions. Recognized by NASSCOM, Forbes, and Gartner, VuNet is building a world-class deep-tech product in India that s making waves globally. Your Role: Information Developer We re looking for an experienced Information Developer to lead the creation of high-quality product documentation that enables our users to easily understand and unlock the full value of VuNet s platform. You ll work closely with product managers, engineers, and support teams to translate complex technical concepts into clear, concise, and user-focused content. If you have a passion for clarity, love simplifying complexity, and want to shape the voice of a rapidly scaling tech product this is your opportunity. Key Responsibilities Develop, manage, and update product documentation, including: User guides API references Troubleshooting manuals Online help and release notes Collaborate with cross-functional teams (Product, Engineering, Support) to gather technical details and ensure content accuracy. Translate technical concepts into easy-to-understand content for diverse audiences. Contribute to product UI/UX copy to ensure a consistent, user-friendly experience. Keep documentation aligned with product changes in fast-moving release cycles. Create content for tutorials, knowledge base articles, and multimedia assets (videos, walkthroughs, etc.). Leverage Generative AI tools to streamline content development and enhance user experience. Participate in product planning meetings to identify and prioritize documentation needs. What You Bring 3 8 years of experience as a Technical Writer or Information Developer, ideally in a SaaS or enterprise software environment. Strong command of English with excellent writing, editing, and structuring skills. Proficiency using Generative AI tools for documentation and content automation. Experience with documentation tools such as Markdown, MadCap Flare, Confluence, Git, or similar. Ability to understand and explain complex software systems, APIs, or developer tools. A proactive mindset with strong organizational and collaboration skills. A degree in Engineering, Computer Science, or a related technical field. (Bonus) Familiarity with observability tools, monitoring platforms, or infrastructure tech. Life at VuNet We re a team of curious, driven, and passionate problem-solvers. At VuNet, you ll collaborate with deep-tech innovators, explore emerging technologies like Gen AI, and be part of something big a globally recognized platform built proudly in India. Your work will directly impact millions of users and some of the most mission-critical systems in the digital economy. Your Benefits Comprehensive health insurance for you, your dependents, and your parents. Mental wellness support and 1:1 counseling sessions. Transparent and inclusive culture focused on ownership and growth. Workspaces and tools equipped for next-gen technologies and innovation. Continuous learning through structured training and development programs.

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Senior Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Employment Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS pioneer leveraging AI and data to solve complex business challenges in industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our key products include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion platform. We are recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year. Our Values Impact: Driving meaningful outcomes. Ownership: Taking responsibility beyond comfort zones with inclusivity. Relentless: Innovating with determination and resilience. About the Role As a Senior Data Scientist, you will work in cross-functional teams delivering AI- and physics-based solutions that optimize operations and support decision-making in heavy-asset industries like Oil & Gas, Power & Utilities, Renewables, and Manufacturing. You will engage with customers, lead solution scoping, design, deployment, and operationalization using Cognite s data platform. What You ll Do Lead design and development of machine learning and physics-based models for industrial problems. Collaborate with data scientists, engineers, solution architects, and project managers to deliver scalable solutions. Conduct workshops and advise customers on solution approaches and pitfalls. Build and deploy dashboards and visualizations for data-driven insights. Mentor junior team members and promote best software practices including testing and documentation. Contribute to production-grade deployments and cloud-native solutions. Stay updated with emerging GenAI technologies and integrate them into customer use cases. Who You Are 5+ years as a Data Scientist, preferably in Oil & Gas, Maintenance, or Manufacturing domains. 1+ years as a domain expert on projects involving customer engagement. Proficient in Python, ML libraries (scikit-learn, Keras), and data visualization tools (PowerBI, Grafana, Tableau, Plotly Dash, Streamlit). Advocate for software best practices: automated testing, documentation, and version control (Git). Experienced contributor to large software projects. Pragmatic with the ability to balance short- and long-term priorities. Effective communicator with strong stakeholder management skills. Experienced mentor and quality assurer for junior colleagues. Cloud experience with serverless functions and production deployments. Proven success working across diverse industries. Eager to explore and apply GenAI developments in practical solutions. Work in a diverse global community with 70+ nationalities and a strong DEI focus. Modern hybrid work environment based in Bengaluru (Rathi Legacy, Hoodi). Flat organizational structure with direct access to decision-makers. Opportunity to collaborate on ambitious projects across industries. Access to ongoing learning and a vibrant internal community (HUB). Make an Impact Cognite is driving the future of industrial data innovation. Join us to help industries become more efficient, sustainable, and digitally transformed. We welcome candidates from all backgrounds apply today to be part of our journey!

UX/UI Designer About The Team Rubrik s Marketing Team is growing, and we're looking for an exceptional, curious, user-obsessed UX/UI Designer who loves combining creativity with smart, data-driven thinking. If you are someone who can transform complex challenges into beautifully simple solutions while pushing creative boundaries; if you're excited about creating Marketing experiences that are not only captivating but backed by evidence and built for real people; if you love design and geek out over the details; if you have a portfolio that makes people say 'wow,' we d love to meet you. You ll help shape the look, functionality, and especially the feeling of our web presence but more importantly you ll do so with purpose, using data to inform decisions, validate ideas, and continuously improve how users interact with our digital experiences. From user flows and wireframes to high-fidelity mockups, you'll design with empathy and iterate with intention. What you'll do Collaborate closely with Dev, Creative, Web, Digital, and cross-functional partners to translate business goals into intuitive, elegant web experiences. Design and iterate on responsive UI components that support accessibility, usability, and brand consistency, all while building and evolving our design system with scalability and consistency in mind. Leverage analytics, user feedback, and testing to drive user-centric design decisions and optimize performance across key user journeys. Skills: Portfolio: A strong portfolio showcasing your UX/UI design skills, including examples of user research, wireframing, prototyping, and stunning visual design that reflect a deep understanding of design principles and user-centred design best practices. Design Tools: Proficiency in design tools such as Figma or similar for prototyping, wireframing, and visual design. Strong ability to create interactive prototypes and iterate based on user feedback and insights from usability testing. Design Systems: Experience in working with or contributing to design systems, ensuring consistency and scalability across different teams and product components. Apply design thinking principles to identify and solve user problems. Focus on creating intuitive, engaging, and meaningful user experiences that align with business goals and user needs. Experience in responsive web design and accessibility best practices. User Research: Experience in conducting user research, usability testing, analyzing data, and translating insights into actionable design solutions that prioritize user needs and business goals. Communication & Collaboration: You're great at expressing your ideas, both in conversations and in writing. You can confidently explain your design choices and work well with people from different teams. You help keep everyone on the same page by documenting important decisions and processes, and you enjoy sharing knowledge with your fellow designers. You also have a knack for maintaining high design standards and making sure everything fits within the big picture. Experience you'll need Experience of 7-10 years in UX/UI design, with a focus on web or software products, and a proven track record of delivering end-to-end user experiences. Expertise in Figma. Familiarity with HTML/CSS or front-end development. Familiarity with Adobe Experience Manager (CMS). A degree in Interaction Design, Human-Computer Interaction, Graphic Design, or a related field. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked.

Technical Program Manager Location: Bangalore, India About the Team The Technical Program Management (TPM) team drives planning, management, and execution of major technical programs for Rubrik s Engineering organization across a broad portfolio of cloud data management products. The team skillfully balances multiple, often conflicting priorities to deliver high-quality products through strategic communication, business insight, and collaborative influence. About the Role Rubrik is seeking an experienced Technical Program Manager to join the Engineering Program Management organization in Bangalore. Reporting to the Director of TPM, you will lead complex, cross-functional programs in a fast-paced environment. Your focus will be on maintaining project momentum, removing obstacles, managing risks, and ensuring timely delivery of features and products with a high standard of quality. What You ll Do Plan, manage, and execute multiple major technical programs annually for the Engineering organization. Collaborate closely with Engineering, Product Leadership, Customer Support, and other teams to prioritize and deliver new product features. Lead cross-functional teams, running coordination meetings such as scrum of scrums, managing feature prioritization, milestone tracking, risk mitigation, and escalations. Oversee product release management including metrics, processes, and beta programs. Drive continuous process improvements to enable predictable and consistent execution. Define program success metrics and track progress throughout the product development lifecycle. Manage competing priorities using logical problem-solving, effective communication, and influence without direct authority. Experience & Qualifications Bachelor s degree or higher in engineering or a related technical field. 3+ years of experience in engineering program or project management. Proven success leading large projects or initiatives in complex, fast-moving environments. Strong understanding of Agile methodologies and experience working closely with cross-functional teams to deliver quality products on time. Familiarity with product development lifecycle, software release processes, metrics, and tools. Detail-oriented with strong problem-solving skills to prioritize and mitigate risks. Excellent verbal and written communication skills. Preferred Experience Experience with release management in SaaS and on-premises environments is a plus. About Rubrik Rubrik is on a mission to secure the world s data with its Zero Trust Data Security platform. Leveraging machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and resilience against cyber threats and operational disruptions. Qualification : Bachelors degree or higher in engineering or a related technical field.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Job Title: Executive Assistant Location: Bengaluru, Karnataka, India About CloudSEK CloudSEK is a leading AI-powered cybersecurity company committed to building the fastest and most reliable technology to detect and resolve digital threats in real-time. With a core focus on leveraging AI and machine learning, our products deliver rapid threat detection, precise analysis, and fast resolution, minimizing human intervention. Founded in 2015 and headquartered in Singapore, CloudSEK has expanded rapidly and is now one of India s most trusted cybersecurity companies. Our product suite includes XVigil, BeVigil, and SVigil, which offer digital risk protection, attack surface monitoring, and software supply chain risk management. CloudSEK has received recognition from industry leaders and investors, including $10M in total funding and several prestigious awards. Our mission is to continue revolutionizing the cybersecurity landscape with cutting-edge technology and innovation. About the Role: Executive Assistant As an Executive Assistant to the CEO, you will be the central hub of operations for the CEO s office. You will be responsible for managing communications, scheduling, travel, and day-to-day executive tasks, ensuring that everything runs smoothly and efficiently. This role offers direct access to leadership and the opportunity to be an essential part of a fast-growing company in the cybersecurity space. Key Responsibilities Inbox & Communication Management: Own the CEO's inbox, ensuring timely responses, delegations, and flagging of high-priority messages. Maintain clear communication with both internal and external stakeholders, ensuring respect and clarity at all times. Calendar & Scheduling: Manage complex scheduling across multiple time zones and reschedule meetings with minimal conflicts. Prepare briefing notes, agendas, and capture follow-up actions for meetings as necessary. Travel & Logistics: Coordinate with the admin team for domestic and international travel, including flights, hotels, and visas. Prepare detailed travel itineraries and manage real-time changes or adjustments. Manage event RSVPs and coordinate offsite planning when applicable. Expense Management: Track, categorize, and reconcile CEO s expenses with precision. Submit monthly reimbursements and expense reports, liaising with the finance team for any clarifications or documentation. Investor Relations Responsibilities: Update investor pipeline using Streak CRM, ensuring accurate tracking of interactions and stages. Proactively schedule investor meetings and follow-ups based on interest and activity. Collaborate with internal teams (CEO, Finance, Business) to prepare updates or materials for investor meetings. Organize investor documents, pitch decks, and due diligence materials as required. Keka Platform Management: Manage employee workflows on the Keka HR platform, including leave, on-duty (OD), work-from-home (WFH), and reimbursement requests. Review and approve requests, ensuring consistency and compliance with the CEO s guidance. Ad-Hoc Support: Take ownership of special assignments and ad-hoc tasks delegated by the CEO or leadership. Act as a flexible resource to support cross-functional needs, ensuring timely execution of high-priority tasks. Must-Have Skills: 2+ years of experience as an Executive Assistant, preferably supporting senior leadership. Strong written and verbal communication skills, with an ability to manage high-priority communication. Excellent organizational and time management skills, capable of juggling multiple responsibilities in a fast-paced environment. Proven expertise in email/inbox management and calendar scheduling. Tech-savvy, with proficiency in Google Workspace, Slack, Microsoft Office, and related tools. High degree of professionalism, discretion, and trustworthiness. Nice-to-Have Skills: Experience in a startup or high-growth environment. Familiarity with project coordination or internal reporting. Understanding of startup culture and CEO workflows. What You ll Get: Direct access to leadership and an opportunity to make a significant impact. A fast-moving, ambitious, and transparent work culture that fosters innovation. Freedom to grow, learn, and take ownership of projects that matter. Career development opportunities in a dynamic and rapidly growing organization. Benefits of Joining CloudSEK: Flexible working hours for a better work-life balance. Access to free food, unlimited snacks, and beverages in the office. Participate in team bonding activities like games, music, and creative events. A dynamic startup environment that encourages growth, innovation, and fun.

Job Title: HR Operations Specialist Location: Bengaluru, Karnataka, India About CloudSEK CloudSEK is a leading cybersecurity product company that combines cutting-edge Artificial Intelligence and Machine Learning to offer the world s fastest and most reliable solutions for detecting and resolving digital threats in real-time. Since our inception in 2015, CloudSEK has grown rapidly, expanding across India, Southeast Asia, and the Americas, while consistently driving innovation in the cybersecurity industry. Our product suite includes CloudSEK XVigil, BeVigil, and SVigil, providing real-time threat analysis, attack surface monitoring, and software supply chain risk management. We re proud to be recognized with multiple industry awards and accolades, including the NASSCOM-DSCI Excellence Award and NetApp Excellerator's Best Growth Strategy Award. About the Role: HR Operations Specialist We are seeking a dynamic and experienced HR Operations Specialist to join CloudSEK s fast-paced and rapidly growing startup environment. As an integral member of our HR team, you will manage and enhance HR processes, ensuring that all HR initiatives align with the company s goals and contribute to a positive, productive work culture. This is a unique opportunity to make a significant impact on the growth and success of CloudSEK through strategic HR management. Key Responsibilities Performance Management & Employee Engagement: Lead and manage the Performance Management process, driving performance effectiveness across teams. Champion various HR initiatives related to Rewards and Recognition, Employee Development, and Engagement programs. Design and implement policies and programs to enhance employee engagement and productivity. HR Policy & Compliance: Formulate and implement HR policies and procedures in collaboration with HR leadership, ensuring compliance with labor laws and company objectives. Regularly evaluate and update policies to ensure they meet the evolving needs of the organization. Payroll, Audits & Compliance: Support payroll processing, audit procedures, and ensure compliance with all relevant HR-related laws and regulations. Bridge management-employee relations by addressing grievances, concerns, and demands from both sides, ensuring transparency and trust. End-to-End Employee Lifecycle Management: Manage the entire employee lifecycle, including HRMS management, exit processes, and ENPS (Employee Net Promoter Score) surveys. Maintain pay plans and benefits programs, ensuring they align with industry standards and employee satisfaction. Strategic HR Support: Support business needs by driving HR strategies that develop, engage, and retain top talent. Partner with leadership to design and implement HR programs that align with CloudSEK s mission and values. Requirements 3+ years of experience in HR operations, ideally in a fast-paced startup or growth environment. People-oriented and results-driven with the ability to foster relationships at all levels of the company. Demonstrable experience using HR tools like HRMS and Performance Management systems. In-depth knowledge of HR metrics, labor laws, and HR best practices. Strong ability to architect HR strategies, coupled with leadership skills to drive execution. Excellent skills in active listening, negotiation, presentation, and interpersonal communication. A degree in Human Resources or a related field. A self-driven, detail-oriented individual who thrives in a fast-paced environment and enjoys building systems that support growth and engagement. Ability to handle sensitive information with discretion and professionalism. A passion for employee well-being and driving a positive company culture through strategic HR practices. Benefits of Joining CloudSEK Flexible working hours to support work-life balance. Unlimited snacks, food, and beverages in the office to keep you energized throughout the day. A vibrant, collaborative office environment with games, music, and creative activities to unwind. A competitive salary and a comprehensive benefits package, including opportunities for personal and professional growth.

Software Engineer - Backend (.NET) Location: Bengaluru, Karnataka, India Employment Type: Full-time About ixigo ixigo is a leading technology company empowering Indian travelers by providing smarter travel solutions across various platforms. Established in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo offers services in rail, air, buses, and hotels, helping travelers plan, book, and manage their trips efficiently. Leveraging artificial intelligence, machine learning, and data science, ixigo creates intuitive experiences for its users. In 2021, ConfirmTkt and AbhiBus became part of the ixigo family. Headquartered in Gurugram, with offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus), ixigo s platforms allow travelers to book train, flight, bus tickets, hotels, and more. In 2022, ixigo was recognized as one of the Top 10 most downloaded travel apps worldwide by data.ai. Job Description We are seeking a Software Engineer - Backend (.NET) to join our engineering team in Bengaluru. In this role, you will develop and maintain backend services and APIs using .NET Core and .NET Framework. As part of a dynamic team, you will have the opportunity to work on high-traffic, scalable applications and contribute to innovative solutions in the travel technology space. Responsibilities Backend Development: Develop and maintain backend services and APIs using .NET Core / .NET Framework. Write clean, scalable, and efficient code adhering to best practices and coding standards. Database Integration: Design, implement, and maintain SQL-based databases (e.g., SQL Server). Integrate databases with backend services using Entity Framework or other ORM frameworks. Cross-functional Collaboration: Work closely with front-end developers, designers, and product managers to build high-quality, user-centric software. Participate in sprint planning, agile ceremonies, and contribute to continuous improvement initiatives. Code Quality: Conduct code reviews and ensure the quality and maintainability of the codebase. Implement and maintain security and data protection measures for all backend services. Troubleshooting & Optimization: Troubleshoot, debug, and optimize existing systems to enhance performance and reliability. New Features Implementation: Assist in the design and implementation of new features and services. Qualifications Required Skills: Experience: 1-3 years of professional experience in backend development using .NET Core or .NET Framework. Proficiency: Strong knowledge of C# and object-oriented programming principles. Solid understanding of RESTful API design and development. Database Skills: Strong experience with relational databases like SQL Server or MySQL. Experience with Entity Framework or other ORM frameworks. Version Control: Familiarity with version control systems like Git. Web Services Integration: Knowledge of web services and integration methods (e.g., SOAP, REST, JSON, XML). Unit Testing: Good understanding of unit testing frameworks (e.g., xUnit, NUnit). Cloud Knowledge: Basic knowledge of cloud platforms (e.g., Azure is a plus). Problem-solving: Strong problem-solving skills and ability to troubleshoot complex issues. Communication: Good communication skills and ability to work in a collaborative environment. Impactful Work: Help shape the future of the travel industry by building cutting-edge applications. Collaborative Environment: Work with talented professionals in an innovative, agile, and flexible environment. Career Growth: Learn and grow in a rapidly expanding company that values continuous learning. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: A culture that promotes a healthy work-life balance.

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Research Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is leading the way in transforming the world through digital experiences. From emerging creators to global enterprises, we empower everyone to bring ideas to life with powerful images, videos, documents, and applications across every platform. Innovation, creativity, and inclusivity are the cornerstones of our company culture where great ideas can come from anyone, anywhere. About Adobe Research Adobe Research is one of the world s premier industrial research organizations, where we invent the future of creativity, documents, and autonomous systems through cutting-edge AI and ML innovation. We blend academic excellence with product-focused impact, shaping how millions interact with Adobe s tools and platforms every day. Areas of Research Focus Natural Language Processing (NLP) Natural Language Generation (NLG) Human-Computer Interaction (HCI) and User Experience (UX) Computer Vision Deep Learning & Machine Learning Artificial Intelligence (AI) Image, Audio, Video, and Multimodal Data Processing Autonomic Systems and Computing Responsibilities Invent, design, and prototype breakthrough AI technologies for next-generation Adobe products. Identify emerging research areas and help shape Adobe s long-term research agenda. Publish your work in top-tier journals and conferences, establishing thought leadership in your field. Collaborate with leading academic institutions and global research communities. Partner with cross-functional teams of engineers, designers, and product managers to bring research innovations to production. Required Qualifications Ph.D. (preferred) or Master s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field. Proven research excellence with a strong publication record in top-tier conferences or journals. Strong experience in one or more of the following: machine learning, deep learning, NLP, computer vision, or multimodal data processing. Demonstrated ability to solve complex, open-ended problems and innovate under uncertainty. Proficiency in software development and modeling (e.g., Python, PyTorch, TensorFlow, etc.). Excellent communication skills, including scientific writing and presentation abilities. Preferred Qualifications (for Senior Roles) 7+ years of research experience in academia or industry. Experience leading research teams or initiatives with significant real-world impact. Collaborate with world-class scientists and thought leaders. Work on breakthrough research that has direct impact on Adobe products used by millions globally. Enjoy a creative and intellectually rich environment with the freedom to explore your ideas. Publish, present, and build your reputation in the global research community. Competitive compensation, excellent benefits, and flexible work culture. Adobe is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We welcome candidates from all backgrounds and experiences. Qualification : Ph.D. (preferred) or Masters degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Software Development Manager CephFS Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: Senior / Leadership Company: IBM Ceph Engineering Team Education: Bachelor s Degree (Master s preferred) Introduction: At IBM, we re not just redefining business we re redefining what s possible through technology, collaboration, and innovation. As one of the world's leading technology companies, IBM is transforming industries through the power of AI, Cloud, Analytics, Security, and IoT. With a presence in over 170 countries, we bring together diverse minds to solve complex challenges and build a smarter future. Join IBM s Ceph Engineering Organization and be a part of shaping the future of software-defined distributed storage. We're looking for an experienced and visionary Software Development Manager to lead the CephFS team the group responsible for the file system layer of the Ceph ecosystem. About the Role: As a Software Development Manager for CephFS, you ll play a key leadership role in designing, developing, and delivering new capabilities in CephFS, the scalable and highly available POSIX-compliant distributed file system built atop Ceph. You ll lead a global team of engineers, working in an open-source community, to develop enterprise-grade storage solutions for modern workloads. You will focus on building next-generation distributed file system features like instant cloning, file overlays, coherent snapshots, and advanced client-side caching. This role is a mix of hands-on technical leadership and people management, with strong collaboration across open-source communities, IBM product teams, and clients. Key Responsibilities: Lead and mentor a team of talented engineers working on CephFS. Drive the design and implementation of new distributed features and algorithms for file system scalability, performance, and resiliency. Collaborate with the global Ceph open-source community to contribute and review code, resolve issues, and plan new features. Guide the team in debugging complex production issues, both live and offline. Collaborate with client-facing and support teams to perform root cause analysis for customer-reported issues. Contribute to the architecture and roadmap of CephFS in alignment with product and client needs. Engage in code reviews, triaging, and architectural discussions. Promote engineering best practices and a culture of continuous improvement. Required Skills & Experience: Bachelor s degree in Computer Science or related field. Strong experience working with C++ or other systems programming languages. Excellent debugging skills (live system and core file analysis). Hands-on experience in open-source development (preferably with contributions to GitHub). Good understanding of large-scale codebases and the ability to design and implement major features or changes. Comfortable working with Python for automation and testing. Proficiency with Git and GitHub workflows. Excellent verbal and written English communication skills to coordinate with a distributed, global team. Proven ability to mentor and support engineers while driving technical excellence. Preferred Qualifications: Master s degree in Computer Science or related field. Experience in building or maintaining file systems or distributed storage platforms. Prior work in distributed systems, high-performance computing, or cloud-native storage. Experience working in remote/distributed teams. Familiarity with systems like OpenStack, Kubernetes, or NFS-Ganesha. Work with world-class engineering teams on products that power global enterprise infrastructure. Be part of a vibrant open-source community, contributing to widely adopted storage technologies. Enjoy a culture of continuous learning, innovation, and impact. Competitive salary, benefits, and flexible work arrangements. Be essential. Be a leader in redefining how the world stores and accesses data. Apply today to join IBM s CephFS team and help build the future of enterprise file storage. Qualification : Bachelors degree in Computer Science or related field.

Introduction As a Customer Success Manager (CSM) for the IBM Apptio line of products, you will be responsible for ensuring customers have a successful experience using the products, providing ongoing support, monitoring their usage, and identifying opportunities for upselling or cross-selling. You will serve as the primary point of contact for a portfolio of customers, addressing any issues or questions they have and ensuring their overall satisfaction with the product. Your Role and Responsibilities Cloud Savings Program Management: Plan, execute, and track new and existing customer Cloud Savings Programs across AWS and/or Azure. Discount Management: Lead discussions and manage customer commitment-based discounts across all savings instruments. Customer Business Analysis: Analyze customer business objectives and use the Apptio Cloudability / Kubecost platform to create insightful reporting, dashboards, and savings programs. Operational Reviews: Perform analysis and present regular operational reviews to both customers and Apptio leadership. Collaborate with Global Teams: Work with an internal global team to grow a strategically important part of the Apptio business. Cross-Product Insights: Partner with other Apptio domain experts to combine the full suite of Apptio products, generating insights across a customer s total IT spend. Voice of the Customer: Be the voice of the customer, advocating for their requirements with Product and Engineering teams. Customer Relationship Management: Build and nurture strong relationships with customers, ensuring ongoing success and satisfaction. Required Education Bachelor's Degree Required Technical and Professional Expertise 5+ years of industry experience in relevant fields. Good understanding of Kubernetes and hold CKA Certification. Hands-on experience with a cloud vendor (AWS, Azure, or GCP), with certifications like AWS Practitioner or Azure AZ900. Proven ability to plan, execute, and track customer Cloud Savings Programs across CSPs. Deep knowledge of rate optimization at AWS (e.g., Savings Plans, Reserved Instances). Track record of increasing FinOps maturity within customer environments. Demonstrated ability to break down complex problems into sub-tasks and track outcomes effectively. Experience in customer-facing roles such as consulting, customer success, or equivalent. Proven ability to lead discussions and manage customer s commitment-based discounts across various savings instruments. Skilled at analyzing customer business objectives and using the Apptio Cloudability / Kubecost platform to build reporting, dashboards, and savings programs. Excellent communication skills both verbal and written across technical and non-technical contexts. Preferred Technical and Professional Experience AWS Certified Solution Architect - Associate or higher (or equivalent knowledge). Strong relationship-building skills with both customers and co-workers. Proven track record of developing frameworks to solve ambiguous problems and leveraging data to derive insights that lead to actionable recommendations. About the Business Unit IBM Software integrates core business operations with intelligence, from machine learning to generative AI, helping organizations become more responsive, productive, and resilient. IBM Software aids clients in putting AI into action to create real value with trust, speed, and confidence. It is instrumental in fields such as digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to leverage data, as AI's value is directly tied to the quality of data. IBM s AI and data platform scales and accelerates the impact of AI with trusted data and provides leading capabilities to train, tune, and deploy AI across business. IBM s hybrid cloud platform offers one of the most comprehensive approaches to development, security, and operations across hybrid environments, providing a flexible foundation for leveraging data, wherever it resides, to integrate AI into business processes. If you are passionate about driving customer success and want to play a key role in helping organizations optimize their cloud savings and accelerate their digital transformation, join IBM Apptio and be part of our dynamic, innovative team. This job description outlines the essential responsibilities and qualifications for the Customer Success Manager (CSM) - Apptio Products role, offering an excellent opportunity for professionals interested in cloud savings, customer success, and strategic growth.

Job Title: Principal SDET Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: About the Role As a Principal SDET at Locus, you will play a critical role in driving the quality and reliability of our platform. This role goes beyond traditional testing; you will design, develop, and enhance automated test frameworks, ensure seamless integration of quality engineering practices, and mentor team members to establish a quality-first culture. Key Responsibilities: Automation Framework Design and Development: Architect, develop, and maintain robust test automation frameworks for backend, APIs, and frontend components. Ensure the frameworks are scalable, reusable, and aligned with the latest industry standards. Test Strategy and Planning: Collaborate with product managers, developers, and DevOps to define comprehensive test strategies for new features and system enhancements. Own the end-to-end testing lifecycle, from requirement analysis to test case creation, execution, and reporting. Drive better QA practices (In areas Like: defect creation, Capturing scope of feature, Sign offs , matrix of coverage in functional and automation etc) Quality Advocacy and Best Practices: Drive the adoption of best practices in testing, coding standards, and CI/CD processes across teams. Act as a champion of quality by fostering a quality-first mindset and instilling a culture of rigorous testing. Test Execution and Debugging: Conduct functional, performance, and security testing, ensuring the product meets the highest quality standards. Debug complex issues and work closely with developers to identify and resolve root causes. Continuous Improvement: Analyze test results and metrics to identify areas for improvement in testing processes and product quality. Contribute to the development and enhancement of monitoring and alerting systems to proactively address production issues. Mentorship and Collaboration: Mentor and guide junior SDETs and quality engineers, sharing knowledge and expertise to elevate the team s capabilities. Collaborate effectively with cross-functional teams to ensure quality is integrated into every stage of the development process. Develop a good understanding of velocity in teams and across the org and work towards removing roadblocks to improve release velocity Qualifications: 5-8 years of experience in software testing, with at least 3 years focused on test automation. Proficiency in programming languages such as Java, Python, or JavaScript. Hands-on experience with test automation tools and frameworks for Web and API automation like Selenium, Appium, TestNG, JUnit, or similar. Exp of working on any AI enabled testing tools or frameworks is a plus. Expertise in API testing and automation using tools like Postman, RestAssured, or equivalent. Familiarity with performance testing tools such as JMeter or Gatling. DevOps and CI/CD: Experience with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions. Knowledge of Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) is a plus. Strong debugging skills and the ability to identify root causes of issues quickly. Excellent communication, collaboration, and leadership skills. Experience in testing large-scale, distributed systems. Knowledge of security testing and tools like OWASP ZAP or Burp Suite. Exposure to machine learning models and their testing challenges. Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.