Software Manager AI AND Machine Learning Jobs in Bengaluru

Application Support Engineer I Location: Bangalore Experience: Up to 2+ Years About Tekion Tekion is revolutionizing the automotive industry with the first cloud-native automotive platform, transforming an ecosystem that hasn t seen major innovation in over 50 years. Our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) connect OEMs, dealerships, consumers, and partners through one seamless platform. Leveraging big data, AI, and machine learning, Tekion delivers the best automotive retail experiences across North America, Asia, and Europe. Role Overview We are looking for an enthusiastic Application Support Engineer I who loves challenges, enjoys problem-solving, and is passionate about delivering exceptional customer experiences. You will act as a subject matter expert in your domain, supporting our dealership clients, coordinating technical issues, and ensuring the support team follows processes and delivers solutions effectively. Key Responsibilities Take ownership of customer-reported issues and ensure problems are resolved end-to-end. Research, diagnose, troubleshoot, and identify solutions to resolve system and application issues. Follow standard escalation procedures for unresolved issues and coordinate with internal teams. Understand applications both functionally and technically. Use internal databases and external resources to provide accurate technical solutions. Ensure all issues are properly logged and tracked. Prioritize and manage multiple open issues simultaneously. Prepare accurate and timely reports on support activities. Document technical knowledge in notes, manuals, and knowledge bases. Support rotational shifts as required. Required Skills & Experience 0 2+ years of experience in application, production, or product support. Advanced knowledge of SQL, MongoDB, and basic network configurations. Strong understanding of databases, APIs, and coding fundamentals. Ability to learn and master company-specific software. Strong problem-solving skills and attention to detail. Excellent written and verbal communication skills. Ability to diagnose and address application-related issues effectively. Understanding of IoT and software systems is a plus. Be the first point of contact for dealership clients, ensuring their technical issues are resolved quickly. Play a key role in improving customer satisfaction by providing accurate and timely solutions. Contribute to a knowledge-sharing culture through documentation and process improvements. Work in a collaborative, agile environment alongside cross-functional teams on challenging projects.

Associate Product Designer Job Type: Full-Time Category: Design Location: Bengaluru About Bright Bright is a consumer fintech startup on a mission to help Americans get out of debt and take control of their finances powered by data science, automation, and machine learning. Our mobile app offers a full suite of tools including credit-building, automated debt paydown, smart budgeting, financial planning, and loan refinancing. With over 300,000 users and 100,000+ reviews, Bright is one of the fastest-growing fintech apps in the U.S. Backed by top-tier investors like Sequoia, Falcon Edge, and Hummingbird, we ve raised over $90M in equity and debt funding and are poised to become one of the top 100 financial institutions in the U.S. Built in India for global markets, Bright combines deep domain expertise, world-class design, and cutting-edge technology to deliver life-changing financial outcomes. About the Role We re looking for a Product Designer with a passion for solving real user problems through smart, user-first design. You ll play a key role in shaping the user experience across Bright s core products working closely with product managers, engineers, and other designers to turn insights into innovative, intuitive, and impactful user journeys. You ll be part of a collaborative, fast-paced, high-growth environment where great design is central to product success. What You ll Do Conduct market, user, and competitor research to identify opportunities and user pain points. Translate research findings into actionable ideas, wireframes, and design solutions. Collaborate cross-functionally with senior designers, PMs, and engineers to deliver user-centric and business-aligned experiences. Use design tools like Figma to create high-quality wireframes, mockups, and prototypes. Build interactive prototypes to showcase user flows, product interactions, and animations. Apply usability testing and feedback loops to refine designs. Stay updated on design trends, tools, materials, and techniques relevant to mobile and web UX. Present and advocate for your design ideas with data-backed rationale. What You ll Bring 2 3 years of experience in UI/UX design for mobile apps, web applications, or software products. Strong design craft across interaction, visual, and service design. Proficiency in tools like Figma, Adobe Creative Suite, and prototyping platforms. Hands-on experience across the full design lifecycle: user research, wireframing, prototyping, visual design, and usability testing. A solid understanding of mobile and web design guidelines and best practices. A strong product mindset, with the ability to collaborate effectively with PMs and engineers. A portfolio showcasing creative problem-solving and user-centered design. Passion for working in a dynamic, fast-paced startup environment. What You ll Get Mentorship and training from experienced consumer product leaders. Hands-on experience building products from 0 to 1 in a high-impact, user-focused environment. Deep exposure to cutting-edge work in AI, financial technology, and global product design. The opportunity to build products that make a real difference in people s lives. The skills and foundation to one day become a product founder yourself. At Bright, design isn't just how it looks it's how it works for the user. If you're ready to craft intuitive, elegant, and impactful experiences that help people achieve financial freedom, we d love to meet you.

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.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

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!

Job Title: Project Manager Company: Cognite Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Project Management EMEA Employment: Full-Time | Hybrid About Cognite: Cognite is a global SaaS leader in AI-powered industrial digital transformation, known for its flagship products Cognite Data Fusion and Cognite Atlas AI. We serve heavy asset industries like Oil & Gas, Power, and Manufacturing, enabling data-driven operational efficiency and sustainability. Role Overview: As a Project Manager in Cognite s Global Customer Success (GCS) team, you will lead and coordinate digital transformation projects for customers in MENA and SEA regions. You will work closely with Data Scientists, Solution Architects, Domain Experts, and engineering teams to deliver impactful solutions. You serve as the vital link between customers and internal teams, managing project execution, risk, communication, and budgets. Typical Responsibilities: Lead and manage SaaS and software projects on a global scale. Coordinate across multiple stakeholders including customers, partners, and internal teams. Facilitate design thinking and workshops using tools like MIRO. Monitor project progress, risks, and communicate status to senior management. Implement governance frameworks to ensure compliance and success. Foster strong customer and partner relationships. Navigate complex stakeholder environments and resolve challenges. Support projects involving IoT, cloud solutions, machine learning, and AI applications. Travel as needed to support project goals. Requirements: Bachelor s or Master s degree in Engineering, Computer Science, Business, Math, or related field. 7+ years of SaaS or software project management experience at global scale. Proficient with project management tools like JIRA, Confluence, Azure DevOps, Trello, MIRO. Experience or consulting background in Oil & Gas or Manufacturing domain is a plus. Proven ability in risk management, stakeholder engagement, and team leadership. Comfortable working in ambiguous environments and adding structure to delivery. Excellent communication and presentation skills, including to executives. Willingness to travel internationally. Familiarity with IoT, cloud, AI/ML projects is advantageous. Work in a diverse, inclusive environment with 70+ nationalities. Modern hybrid workplace with flat hierarchy and direct decision-maker access. Join ambitious global projects with some of the best minds in the industry. Enjoy a culture emphasizing impact, ownership, and relentless innovation. Excited to lead digital transformation projects that shape the future of industry? Apply now to join Cognite s global community! Qualification : Bachelors or Masters degree in Engineering, Computer Science, Business, Math, or related 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.

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

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.

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 Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

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.

About Databricks At Databricks, we are driven by our passion for enabling data teams to solve the world s most challenging problems from building the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating the world s leading data and AI infrastructure platform, empowering our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges, whether it s designing next-gen UI/UX for data interaction or scaling services and infrastructure across millions of virtual machines. And we re just getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will be at the forefront of building infrastructure and products at scale for the Databricks platform. You will lead a talented team working on complex and highly scalable systems, contributing to multiple domains, including: Resource management infrastructure for big data and machine learning workloads scalable, secure, and cloud-agnostic. Reliable, scalable services and client libraries that handle massive amounts of data across multiple regions and cloud providers. Developer tools for operating services across different clouds and environments. Services and infrastructure at the intersection of machine learning and distributed systems. The Impact You Will Have Build and lead an exceptional engineering team by hiring and retaining top talent. Ensure high technical standards through robust processes (e.g., architecture reviews, testing) and foster a culture of engineering excellence. Define and execute long-term roadmaps, collaborating with engineering and product leadership. Coordinate execution and unblock cross-team projects, ensuring alignment and timely delivery. What We Look For 10+ years of experience with large-scale distributed systems, including strong expertise in testing, monitoring, and defining SLAs. Proven experience as a Software Engineering Leader, building and scaling engineering teams from the ground up. Strong technical background, with extensive experience managing high-performing software engineering teams. Proven ability to partner with Product Management, Sales, and Customers to develop innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by more than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, Databricks is headquartered in San Francisco with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

About Databricks At Databricks, we are passionate about empowering data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating medical breakthroughs. We build and run the world s best data and AI infrastructure platform, enabling our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges whether it's designing next-gen UI/UX for interacting with data or scaling our services and infrastructure across millions of virtual machines. And we re only getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will lead a team of talented engineers to build infrastructure and products at scale for the Databricks platform. Our teams work across diverse domains, including: Resource Management Infrastructure: Power big data and machine learning workloads on a scalable, secure, and cloud-agnostic platform. Reliable, Scalable Services and Client Libraries: Handle massive amounts of data across multiple regions and cloud providers. Developer Tools: Help Databricks engineers operate services across different clouds and environments. Services and Infrastructure at the Intersection of Machine Learning and Distributed Systems. The Impact You Will Have Hire and grow a world-class engineering team, fostering a supportive and collaborative environment. Support engineers career development, providing regular feedback and cultivating future engineering leaders. Ensure high technical standards by implementing effective processes (e.g., architecture reviews, testing) and promoting a culture of engineering excellence. Collaborate with engineering and product leadership to define and execute long-term roadmaps. Coordinate execution and unblock cross-team projects, ensuring timely delivery and alignment with business objectives. What We Look For 12+ years of experience with large-scale distributed systems, including expertise in testing, monitoring, and defining SLAs. Proven track record as a Software Engineering Leader, with experience building and scaling engineering teams from the ground up. Extensive experience managing high-performing software engineering teams. Strong collaboration skills to partner with Product Management, Sales, and Customers in developing innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and more than 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.