Senior Machine Learning Jobs in Bengaluru

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a 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.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Role: Senior Analyst Data Engineering Location: Bengaluru, Karnataka, India Experience: 3 6 Years Employment Type: Permanent, Full-Time About the Role We are looking for a results-driven Senior Data Engineer to join our high-performing data team in Bengaluru. The ideal candidate will have 3 6 years of experience in data engineering, AI/ML implementation, and working with large-scale databases like Snowflake and Teradata. If you're passionate about driving data-powered insights, building scalable solutions, and applying advanced machine learning and AI techniques, we want to hear from you. Key Responsibilities Design, develop, and implement machine learning models to solve complex business challenges. Apply AI techniques, including generative AI, NLP, and computer vision, to improve analytics capabilities. Use Tableau, Power BI, and other tools to develop insightful, interactive data dashboards. Manage and optimize large datasets using platforms like Snowflake, Teradata, and SQL/NoSQL databases. Collaborate with business and technical teams to translate requirements into robust data engineering solutions. Guide junior data professionals and foster a culture of learning and innovation. Communicate analytical findings clearly to non-technical stakeholders. Stay current with the latest in data science, machine learning, cloud platforms, and big data technologies. Key Skills & Technologies Machine Learning & AI Techniques: Supervised & unsupervised learning, deep learning, neural networks Reinforcement learning, decision trees, random forests, clustering NLP, computer vision, GANs, transfer learning Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly Programming Languages & Libraries: Python (essential), R, SQL TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy Databases & Data Management: Snowflake, Teradata, SQL/NoSQL, ETL, data lakes, data warehousing Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP) Big Data Technologies: Apache Spark, Hadoop

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

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!

Senior Backend Engineer Innovation Team Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader using AI and data to transform industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Our award-winning platforms include Cognite Data Fusion and Cognite Atlas AI, driving industrial digital transformation worldwide. The Team & Role You ll join Cognite s Innovation Team working on batch processing applications for a key American emulsions industry client. This role focuses on backend development and data engineering to deliver scalable, robust solutions handling complex data workflows with multidisciplinary teams and global stakeholders. Key Responsibilities Architect and develop backend systems for complex batch data processing workflows with a focus on reliability amid inconsistent/incomplete data. Build resilient workflows handling multi-source data and minimizing system impact from component failures. Develop and optimize data models for domain-specific industrial problems. Create data transformation functions to extract actionable insights from raw data. Manage scalable distributed systems and ensure operational reliability. Collaborate cross-functionally to refine requirements and deliver solutions. Work with large datasets using SQL and NoSQL technologies. Troubleshoot full application lifecycle issues, from dev to production. Stay current on tech trends to innovate team practices. Strong backend development experience, distributed systems, and complex domain modeling. Proficiency in Python, SQL, and NoSQL databases. Experience with cloud-based architectures, automated testing, version control, CI/CD pipelines. Problem-solving skills, especially when data or context is incomplete. Self-driven, taking ownership from concept to deployment. Collaborative and excellent communicator, comfortable engaging global stakeholders. Bonus: knowledge of Data Science and Machine Learning. Diverse global team of 70+ nationalities with strong DEI focus. Modern Bengaluru office with hybrid work flexibility. Flat structure with direct leader access, minimal bureaucracy. Work on ambitious, impactful projects with leading tech experts. Active community engagement with partners and customers. Excited to build next-gen industrial data solutions with Cognite? Apply today and make an impact in a fast-growing, innovative SaaS company!

Senior Customer Success Engineer I Bangalore (EST Shift, Hybrid) Location: Bangalore, India Work Model: Hybrid (3 days office, 2 days remote) Shift Timing: 8:30 PM 5:30 AM IST (EST hours) About Rubrik s Global Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is dedicated to delivering a world-class post-purchase experience. Our team provides expert post-deployment technical support for a broad spectrum of technologies and cloud platforms. We ensure timely activation and adoption of Rubrik s cutting-edge SaaS data management and security products. As a Senior Customer Success Engineer, you will act as a trusted advisor and primary point of contact for our customers and partners, collaborating closely with cross-functional teams to maximize customer value. In today s data-driven world, Rubrik s Customer Support Team is vital to securing customer data. Our team s deep technical expertise, customer-centric approach, and rapid response capabilities safeguard data availability and integrity, no matter the challenges. Key Responsibilities Deliver enterprise-level technical support via phone, web, email, and chat, handling a wide range of customer inquiries and complex cloud deployment issues. Efficiently manage all levels of support cases from basic questions to advanced technical troubleshooting. Analyze customer problems using structured troubleshooting techniques to identify root causes and implement effective solutions. Independently diagnose and resolve issues within the customer environment, escalating unresolved cases appropriately. Provide expert advice on cloud infrastructure services, best practices, and Rubrik product usage. Troubleshoot and resolve escalated customer issues with urgency and precision. Ensure detailed case documentation and timely issue resolution, maintaining high levels of customer satisfaction. Collaborate with internal teams such as engineering and escalations to facilitate clear communication and problem resolution. Contribute to Rubrik s technical knowledge base by developing guides, FAQs, and deployment documentation. Produce technical designs and documentation related to cloud deployment architectures. Required Experience & Skills 6+ years of experience in enterprise technical support, DevOps, or similar roles with expertise in troubleshooting snapshots, replication, data recovery, cloud deployments, networking, and VMware administration. Strong problem-solving skills with the ability to analyze and resolve complex technical issues. Proficient in VMware, Linux, Kubernetes, Google Cloud Platform, AWS, Azure, Office 365 API, database systems (preferably MS SQL), scripting (Python, Perl), automation, microservices architecture, SaaS platforms, and cloud app management. Hands-on experience with cloud deployment technologies and tools. Ability and willingness to continuously learn and adapt across a broad technology stack. Comfortable reporting bugs and collaborating with engineering to recreate and resolve issues. Bachelor s degree in Computer Science, Engineering, or related field. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Powered by Zero Trust Data Security and advanced machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS environments. We enable organizations to maintain data integrity, ensure availability despite adverse conditions, monitor risks continuously, and recover quickly from cyberattacks and operational disruptions. Join us and help shape the future of cloud data management and cybersecurity.

Senior Customer Success Engineer II Bangalore (EST Shift) Location: Bangalore, India Shift: EST Hours About Rubrik s Global Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is dedicated to delivering a world-class post-purchase experience. Our team provides comprehensive post-deployment technical support across a diverse set of technologies and cloud environments. We ensure timely activation and adoption of Rubrik s SaaS products and technologies to deliver maximum value. As a vital member of this team, you will serve as a trusted advisor and key point of contact for customers and partners, working closely with cross-functional teams to ensure customer success. In a data-driven world, Rubrik s Customer Support Team is the backbone of data security strategies, leveraging deep technical expertise in data management, protection, and recovery to swiftly resolve complex issues while maintaining exceptional customer experience. Role Overview As a Senior Customer Success Engineer II, you will provide enterprise-level technical support to customers through multiple channels including phone, web, email, and chat. You will deliver effective solutions to technical and non-technical users while supporting a broad range of cloud and technology deployments. Key Responsibilities Manage and resolve technical support cases from basic queries to advanced troubleshooting involving complex issues. Analyze and isolate root causes using structured troubleshooting and problem analysis techniques. Independently diagnose and resolve problems within the customer s environment, escalating when necessary. Provide expert advice on cloud infrastructure services and best practices. Research, troubleshoot, and resolve escalated customer issues promptly and accurately. Ensure detailed documentation, recording, and closure of all cases. Collaborate with internal teams (escalations, engineering, etc.) to facilitate clear communication and resolution. Contribute technical content to Rubrik s Deployment Guides, Knowledge Base, and FAQs. Demonstrate strong case management skills to proactively resolve issues and maintain high customer satisfaction. Create technical designs and documentation related to cloud deployment architectures. Required Experience & Skills 8+ years of experience in enterprise technical support, DevOps, or related fields. Expertise in troubleshooting advanced issues such as snapshots, replication, data recovery, cloud deployments, networking, and VMware administration. Strong problem-solving skills with ability to work independently. Proficient knowledge of VMware, Linux, Kubernetes, Google Cloud Platform, AWS, Azure, Office 365 API, databases (preferably MS SQL), scripting languages (Python, Perl), automation, microservices architecture, SaaS systems, and cloud application management. Hands-on experience with cloud deployments and infrastructure. Ability and willingness to learn and adapt across a broad technology stack. Comfortable filing bugs and collaborating with engineering teams to reproduce and resolve issues. Bachelor s degree in Computer Science, Engineering, or a related field. Rubrik (NYSE: RBRK) is committed to securing the world s data with its industry-leading Zero Trust Data Security approach. Our Security Cloud, powered by machine learning, protects data across enterprises, clouds, and SaaS applications. We empower organizations to maintain data integrity, ensure availability during disruptions, continuously monitor risks, and quickly restore business operations in the event of cyberattacks or failures. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Senior Renewal Sales Specialist I Bangalore (5:30 PM to 2:30 AM IST) Location: Bangalore, India Shift: 5:30 PM 2:30 AM (IST) About the Role Rubrik is seeking an experienced Senior Renewal Sales Specialist I to manage a renewal portfolio for existing customers across the US and EMEA regions. Based in Bangalore, you will be responsible for ensuring timely and successful contract renewals while collaborating closely with cross-functional teams including Account Executives, Renewal Operations, Channel, Legal, Customer Success, and Finance. This is a great opportunity for professionals with a background in sales, customer success, or account/channel management who want to join one of the fastest-growing SaaS companies specializing in cloud data management and security. What You ll Do Meet and exceed quarterly renewal quotas and Annual Contract Value (ACV) plans. Lead renewal negotiations and drive incremental uplift on contracts. Own, manage, and review your renewal pipeline regularly in CRM. Conduct product usage and account reviews to identify and mitigate renewal risks by collaborating with Sales, Support, and Customer Success teams. Review, validate, and deliver accurate renewal quotes to distributors 120 days prior to contract expiration. Proactively manage forecasting, renewal sentiment, and opportunity stage updates in CRM. Maintain pipeline hygiene for current and upcoming quarters with consistent monthly updates. Work closely with Account Executives on upgrade and renewal opportunities. Consult with partners and customers to resolve queries and challenges, leveraging internal teams as necessary. Stay updated with product phases, training, certifications, and company news. Conduct periodic pipeline reviews and forecast meetings with distributors and partners. Required Skills & Experience 5+ years of experience in Renewals, Account Management, Sales, or Customer Success within SaaS. Experience working with global customers across US, EMEA, and APAC regions. Familiarity with cloud data management and security solutions. Prior experience in channel or partner ecosystem management is a plus. Excellent English communication skills, both written and verbal. Bachelor s degree in any discipline. Strong multitasking and prioritization skills to manage multiple engagements in a fast-paced environment. Self-starter with the ability to work independently and as part of a team. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Using Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Rubrik s Security Cloud, powered by machine learning, protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery in the face of adversity. Qualification : Bachelors degree in any discipline.

Senior Product Designer I Location: Bangalore, India About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With over $1 billion in Annual Recurring Revenue (ARR) and a spot on Gartner s Magic Quadrant, we are reshaping how enterprises achieve business resilience against cyberattacks and operational disruptions. Our Zero Trust Data Security approach and Rubrik Security Cloud, powered by machine learning, secure data across enterprise, cloud, and SaaS environments. Our design excellence is globally recognized we re proud recipients of the Red Dot Design Award and the iF Design Award. About the Team & Role Rubrik s global design team comprises 55+ creative professionals from diverse backgrounds, including a thriving Center of Excellence in Bangalore with 20+ designers. As Rubrik s product and user base rapidly expand, we're focused on scaling our design impact and evolving enterprise-grade experiences that feel intuitive and powerful. We re hiring a Senior Product Designer I to join our Bangalore team. This is a critical hire someone who can contribute meaningfully to strategy, deliver compelling user experiences, and elevate the quality of enterprise design to consumer-grade standards. What You ll Do Champion the design process explore bold ideas, iterate with intention, and drive concept-to-execution with precision. Create deliverables across the full design lifecycle: storyboards, wireframes, flows, prototypes, and high-fidelity mockups. Collaborate closely with designers, product managers, and engineers, ensuring cohesive and well-implemented solutions. Solicit and provide thoughtful design feedback to continuously raise the quality bar. Engage directly with users and stakeholders to align design decisions with real-world needs. Contribute to the evolution of our design language and system, partnering with UI engineers to ensure pixel-perfect implementation. Push the boundaries of enterprise UX, setting a high bar for usability and visual design. What You ll Bring 4+ years of hands-on product design experience, preferably in tech-forward or enterprise environments. Bachelor s degree in Design (Product, Industrial, or similar); Master s in CS or HCI is a plus. A strong portfolio demonstrating a foundation in interaction and visual design, UX thinking, and end-to-end execution. A team player mentality ready to collaborate, iterate, and get hands-on. Excellent communication and presentation skills to clearly articulate design ideas and rationale. A proactive, curious mindset someone who seeks better solutions and doesn t settle for the obvious. Passion for consistency, scalability, and doing things the right way, every time. A listener who values understanding and empathy over ego. Enjoyment in solving complex, ambiguous design challenges. Be part of a globally recognized design team that s shaping the future of enterprise UX. Collaborate in an inclusive, fast-paced environment where your voice and vision matter. Create solutions with real-world impact, helping secure the world s most critical data. Work alongside award-winning designers, engineers, and leaders who are passionate about innovation. Apply now to help set a new benchmark for enterprise design at Rubrik. Let s design the future together. Qualification : Bachelors degree in Design (Product, Industrial, or similar); Masters in CS or HCI is a plus.

Senior Data Analyst Location: Bangalore, India Office About the Team Rubrik s Legal Team plays a crucial role in securing the world s data by providing legal expertise across contracts, intellectual property, privacy, employment law, trade compliance, and litigation. The team fosters a culture of innovation, ownership, and collaboration as we build an iconic company. About the Role Rubrik s Legal Operations Team is looking for a skilled and motivated Senior Data Analyst to drive data-driven decision-making and operational efficiency. You will work closely with the Legal department to analyze, visualize, and report legal and compliance data, enabling strategic insights and process improvements. This role requires technical expertise and the ability to translate complex data into actionable business intelligence. Key Responsibilities Collect, analyze, and interpret legal and compliance data from various sources. Develop and maintain dashboards and reports using tools like Snowflake, Tableau, Smartsheets, PowerPoint, and Google Sheets. Track compliance initiatives and identify trends, risks, and improvement opportunities. Collaborate with Legal teams to define KPIs and metrics. Present data insights clearly to stakeholders to guide strategic decisions. Ensure data quality, integrity, and regulatory compliance. Support process optimization initiatives within Legal Operations. Manage reconciliation, validation, and data integrity tasks for critical legal projects. Create executive-level presentations demonstrating data trends and business impacts. Experience and Skills Required 5-8 years of experience in data analytics, preferably supporting legal, compliance, or operations teams. Proficiency in SQL, Tableau, Smartsheets, Excel, PowerPoint, and GSuite. Experience with case management systems and compliance datasets is a plus. Bachelor s degree in Data Science, Business Analytics, Computer Science, Finance, or a related field. Strong analytical skills with the ability to interpret large datasets and provide actionable insights. Excellent written and verbal communication skills, with experience presenting to cross-functional teams and executives. Familiarity with legal and compliance standards preferred but not mandatory. Detail-oriented with strong project ownership and process improvement mindset. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Our Zero Trust Data Security platform leverages machine learning to safeguard data across enterprise, cloud, and SaaS applications helping businesses stay resilient against cyberattacks and operational disruptions. Qualification : Bachelors degree in Data Science, Business Analytics, Computer Science, Finance, or a related field.

Senior AI Program Manager Location: Bangalore, India (Rubrik Office) Team: IT AI (Artificial Intelligence) About the Team Rubrik s IT AI team is leading AI-driven transformation across the organization, leveraging data, automation, and cutting-edge tech to support the company's mission of securing the world s data. This team partners across departments to deliver impactful, scalable AI solutions. Role Overview As a Senior AI Program Manager, you will lead the strategic planning, execution, and governance of AI initiatives across Rubrik s global IT operations. You ll collaborate with cross-functional business units and technical teams to deliver innovative, high-value AI solutions that align with Rubrik's business goals. Key Responsibilities Develop & manage a comprehensive AI program roadmap aligned with business goals. Collaborate with stakeholders across functions (Sales, HR, Finance, Legal, Support, etc.) to gather and prioritize AI solution requirements. Quantify ROI of AI initiatives and drive value-based prioritization. Oversee end-to-end AI project lifecycle: ideation, feasibility, development, deployment, adoption, and success measurement. Partner with technical teams: full-stack developers, data engineers, prompt engineers, cloud architects. Ensure compliance with data privacy, cybersecurity, and ethical AI standards. Champion AI adoption, innovation, and best practices across the organization. Maintain clear communication, manage risks, and provide consistent updates to leadership and stakeholders. What You ll Bring 5 8 years of experience in program management (IT/Tech Consulting/Engineering), with 2+ years leading AI-focused initiatives. Familiarity with Large Language Models (LLMs) and related technologies. Experience working alongside technical teams (developers, data engineers, cloud experts). Strong grasp of AI solution delivery using full-stack and cloud-based technologies. Skilled in business case development, ROI analysis, and roadmap execution. Excellent stakeholder communication, cross-functional leadership, and Agile project management skills (Jira, Confluence). Exceptional organizational and problem-solving abilities; comfortable in fast-paced, ambiguous environments. Preferred Qualifications Bachelor s degree in CS, Engineering, IT, or related field. Experience managing AI programs in large tech companies or consulting firms. Awareness of AI regulations and frameworks (e.g., GDPR, NIST, EU AI Act, CCPA). Rubrik (NYSE: RBRK) secures data across cloud, SaaS, and enterprise environments using its Zero Trust Data Security platform. Powered by machine learning, Rubrik helps organizations ensure data integrity, availability, and resilience against modern cyber threats and disruptions. Qualification : BS in Computer Science, Engineering, Information Technology, or a related technical field.

Senior Software Engineer Cloud Native Protection Location: Bangalore, India About the Team Rubrik s Cloud Native Protection team safeguards customer data on public cloud platforms. With cloud data growing rapidly and cyber threats increasing, the team builds scalable, secure solutions to protect, search, and analyze cloud data efficiently. Operating like a startup within a startup, the team tackles complex engineering challenges in a culture driven by strong engineering values and collaboration. About the Role As a Senior Software Engineer, you will be a key technical leader responsible for driving complex projects, designing scalable cloud-native software, and mentoring team members. You ll work closely with other engineers and cross-functional partners, bringing technical expertise, initiative, and leadership to deliver impactful solutions. What You ll Do Design, develop, test, deploy, maintain, and improve cloud native protection software. Tackle open-ended, complex problems, leading investigation and scoping efforts. Own project execution and ensure successful delivery of assigned work. Mentor and guide junior engineers, fostering their growth. Collaborate with product management, QA, UI/UX, documentation, and support teams. Experience & Qualifications Education & Experience: Bachelor s or Master s degree in Computer Science or related field. 4+ years of professional experience in software development. Technical Skills: Proficient in one or more programming languages: Go, Java, C/C++, Scala, Python. Experience with public cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with Docker, containers, Kubernetes, and microservices architectures is a bonus. Strong understanding of SDLC, design patterns, and software engineering best practices. Leadership & Collaboration: Proven problem-solving skills and attention to detail. Experience reviewing and designing software artifacts with high quality. Strong leadership and communication skills with a track record of mentoring others. Ability to work independently and deliver impactful results on complex projects. Rubrik is committed to securing the world s data through Zero Trust Data Security . Our platform combines machine learning and cloud-native technology to protect enterprises against cyberattacks, insider threats, and operational disruptions, ensuring data availability and integrity even under adverse conditions. Qualification : Bachelors or Masters degree in Computer Science or related field.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Data Scientist III Advanced Analytics Role at Meesho Location: Bangalore, Karnataka | Department: Tech About the Data Science Team at Meesho Our Data Science team is the engine driving intelligent decision-making at Meesho. Known internally as the Avengers to our S.H.I.E.L.D, we tackle mission-critical challenges using cutting-edge data science to empower millions of users and small businesses across Bharat. From fraud detection and inventory optimization to platform vernacularization, we re shaping the future of e-commerce in India through data innovation. As a Data Scientist III, you'll be solving complex problems in a rapidly evolving market. You ll lead initiatives that translate data into strategic insights and scalable models, impacting business across various functions. About the Role If you thrive on solving high-impact data problems and love deriving actionable solutions from large datasets, you may be the next Data Scientist III at Meesho. Your primary responsibility will be to increase the utility of business data through experimentation, modeling, and strategic insights. This role involves significant collaboration with cross-functional teams, mentorship, and ownership of critical analytics workflows. What You ll Do Build and deploy machine learning models to extract insights from complex data Run experiments to test hypotheses and evaluate product performance Drive product usability improvements and uncover new growth opportunities Analyze reseller preferences and personalize product offerings Create effective discount strategies to support reseller success Enhance understanding of end-user behavior for improved targeting Uncover supply chain inefficiencies and improve SLA performance Predict seasonal and regional demand to guide planning decisions Mentor junior data scientists and contribute to team development What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 4 7 years of experience as a Data Scientist, ideally in a fast-paced B2C company Proficiency with Neural Networks, supervised/unsupervised learning, and ML frameworks Expertise in Python, SQL, and R for data analysis and model development Strong knowledge of statistics, linear algebra, and model validation techniques Experience in designing, running, and analyzing A/B tests Exceptional problem-solving and communication skills Experience working closely with product and engineering teams Bonus Points For: Work on personalization systems or recommendation algorithms Familiarity with Big Data technologies like Apache Spark, Hadoop, or Redshift About Meesho Meesho is India s leading social commerce platform, empowering over 1.75 million sellers to grow their businesses online. We offer a unique business model with zero commission fees and the lowest shipping costs, supported by a powerful tech ecosystem and pan-India logistics network. Our platform is built for first-time internet users and small business owners alike, democratizing e-commerce across every corner of the country. Our Mission Democratizing Internet Commerce for Everyone Meesho s goal is to enable 100 million small businesses to succeed online. With relatable, affordable merchandise and innovative seller support tools, we help entrepreneurs reach new customers and scale efficiently. Our Culture and Total Rewards At Meesho, we cultivate a high-performance, people-first culture supported by our 11 guiding Mantras. We prioritize continuous learning, collaboration, and transparency, and back it up with industry-leading employee experiences. Our Total Rewards Include: Market-leading compensation with both cash and equity components Access to MeeCare Program for physical, mental, financial, and social wellness Comprehensive medical coverage for employees and families Parental benefits, generous leave policies, and retirement plans Support for learning and career development through structured programs Employee engagement, flexible benefits, relocation assistance, and much more We re more than just a company we re a movement redefining online commerce in India. If you re a passionate data expert ready to lead high-impact initiatives, apply now and become a part of Meesho s incredible journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, 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.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.