Principal Scientist Research Jobs in Bengaluru

Associate Principal Graphic Designer Location: Bangalore About Tekion Tekion is transforming the automotive industry with the first cloud-native automotive platform, connecting OEMs, dealerships, technology partners, and consumers. Through our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC), we deliver seamless digital experiences powered by big data, AI, and machine learning. Tekion employs ~3,000 people across North America, Asia, and Europe, driving innovation in a fast-moving industry. Role Overview We are seeking an Associate Principal Graphic Designer who can combine strategic thinking with exceptional design execution. You will own the visual identity across digital platforms, collaborate with marketing, communications, and leadership teams, and mentor a small design team. This is a leadership role for someone passionate about building and scaling a high-performing design practice in a fast-paced tech company. Key Responsibilities Brand Vision & Consistency Maintain and evolve the brand s visual standards. Build and manage design systems, guidelines, components, and patterns for consistency across all channels. End-to-End Creative Leadership Lead projects across web, mobile, and marketing campaigns, from concept to final launch. Collaborate with marketing, communications, product, and leadership to create designs that drive business impact. Ideation & Storytelling Research and translate concepts into actionable designs. Present and defend design decisions to designers, marketers, and executives. Team Leadership & Growth Mentor and coach a small design team to improve skills, maintain quality, and develop accountability. Review all design work before release to ensure consistency and quality standards. Systems & Workflow Innovation Build efficient workflows and scalable design systems to increase team output without compromising quality. Strategic Design Advocacy Represent design in cross-functional and executive meetings. Connect design decisions to business goals such as brand perception, adoption, and revenue. Requirements 5+ years of hands-on experience in visual and brand design in tech or SaaS. Proven experience leading or managing designers and owning project outcomes. Expertise in Figma and Adobe Creative Suite; familiarity with motion, prototyping, and collaboration tools is a plus. Strong portfolio demonstrating strategic thinking, storytelling, and high design craft. Ability to build and scale brand identities, logos, and web experiences across enterprise audiences. Excellent communication and executive presence to align teams around shared vision. Track record of end-to-end project execution, from brief to delivery. Passion for staying ahead of design, product, and culture trends. High accountability, ownership, and commitment to quality standards. Perks & Benefits Competitive compensation & stock options Medical insurance coverage Opportunity to work with some of the brightest minds in Silicon Valley Lead and grow a high-performing creative team in a fast-moving tech environment

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

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

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Position: Principal Product Designer Location: Bengaluru Department: Design Employment Type: Full-time, On-site About Upstox At Upstox, we're building the future of investing simple, powerful, and inclusive. As one of India s fastest-growing fintech platforms, we re backed by leading investors such as Mr. Ratan Tata and Tiger Global, and committed to making wealth creation accessible to every Indian. Millions of users from first-time investors to seasoned traders trust us to power their financial journeys. We're growing fast, and we're doing it with purpose. If you thrive in high-energy, high-impact environments, you ll feel right at home here. The Role: Principal Product Designer As a Principal Product Designer, you ll drive design excellence across Upstox s most critical fintech experiences. In this senior individual contributor role, you ll shape user experiences through deep, hands-on design work without the responsibilities of people management. You ll help guide the evolution of our design systems and deliver intuitive, elegant, and scalable product solutions that directly impact millions. This is a pivotal role where design is not just support it s a strategic force in product development. Key Responsibilities Own end-to-end design of core product experiences from user research and ideation to execution and delivery Lead the development and scaling of a cohesive, cross-platform design system Translate user needs, business goals, and research insights into high-impact, pixel-perfect solutions Collaborate cross-functionally with product managers, engineers, marketers, and compliance teams Continuously measure and refine design output using KPIs, analytics, and user feedback Champion design thinking across the organization, advocating for user needs and design best practices Set a high design bar through thought leadership, mentorship, and hands-on execution 9+ years of experience in product design, ideally in consumer tech or fintech A strong portfolio that showcases deep user insight, systems thinking, and excellent execution across platforms Proficiency with Figma, Sketch, Adobe XD, and experience building and managing design systems Strong foundation in user-centered design, accessibility standards, and familiarity with fintech compliance Exceptional communication skills you articulate design decisions with clarity and influence across functions Self-motivated, adaptable, and excited by complex problem-solving in fast-paced environments Bachelor s degree in Design, HCI, Computer Science, or a related field (preferred) Why This Role Stands Out Shape the digital financial journey for millions of users in India s fast-evolving fintech space Work on high-impact, strategic product initiatives as a senior IC, not a manager Partner directly with founders and senior leaders across product, growth, and engineering Build and scale a world-class design system and practice from the ground up Be part of a design-first culture where your craft directly drives trust, success, and innovation Qualification : Bachelors degree in Design, HCI, Computer Science, or a related field

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Senior Data Scientist - AI Employment Type: Full-Time Location: Bangalore, Karnataka, India Experience Required: 2+ years Job Summary: 5C Network is developing multi-modal AI solutions for autonomous diagnosis of medical imaging. This role focuses on building and deploying advanced AI models using Computer Vision and Vision Language Models to analyze CT and MRI scans, helping detect, segment, and classify abnormalities. Key Responsibilities: Develop, train, and implement computer vision models, VLMs, and 3D models on CT and MRI imaging data. Collaborate closely with leading radiologists and AI researchers from India and the US. Work with product and engineering teams to deploy and operationalize AI models effectively. Contribute to cutting-edge research and assist in publishing findings in academic journals and conferences. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or related fields. Proven experience in training and deploying deep learning-based computer vision models. Strong interest or experience in healthcare AI applications. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively in a research-driven, team-oriented environment. Technical Requirements: 2+ years of hands-on experience with deep learning. Proficient in Python and deep learning frameworks, especially PyTorch. Experience with well-known computer vision architectures (ResNet, DenseNet, U-Net, Vision Transformers, V-Net, etc.). Expertise in building deep learning architectures from scratch. Experience working with Large Language Models (LLMs) is a plus. Knowledge of model pruning, quantization, and scaling model training and inference on GPUs. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or related fields.

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: Lead Data Scientist Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Entertainment / Mobile Gaming About Us We are one of India s most exciting and fast-growing mobile gaming companies. Founded in 2014 and partnered with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at massive scale. Our portfolio includes evergreen hits such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure that fuels rapid growth. Position Summary As a Lead Data Scientist in our Central Analytics team, you will play a critical role in shaping data-driven strategies that enhance player experience and business performance. This fast-paced role offers abundant opportunities to work alongside product leaders and game teams, transforming complex data into actionable insights that drive user acquisition, engagement, and monetization. Key Responsibilities Collaborate closely with product leaders to provide data-driven advisory on strategic decisions. Partner with game development teams to analyze gameplay data and generate actionable insights that improve user acquisition, engagement, and monetization. Perform advanced exploratory data analyses and ad-hoc reporting to identify trends, issues, and opportunities across our game portfolio. Design, execute, and lead data research projects, delivering practical recommendations based on rigorous statistical analyses. Drive continuous improvement in game performance through innovative machine learning models and analytics techniques. Requirements Bachelor s/Master s/PhD degree in Computer Science, Statistics, or a related field. Proven experience with machine learning, statistical modeling, and data science projects. Hands-on proficiency in Python and/or Spark for data manipulation, visualization, and building ML models. Strong SQL skills with experience querying large, complex datasets from data lakes or warehouses. Demonstrated ability to lead research projects and translate findings into actionable business recommendations. Excellent interpersonal skills and a collaborative approach to working with cross-functional teams. Knowledge of Deep Learning frameworks and techniques is highly desirable. Work with a top-tier gaming company known for its innovative and data-driven culture. Influence millions of users worldwide through impactful analytics. Collaborate with talented teams in a high-growth, dynamic environment. Access to cutting-edge tools and technologies for data science and machine learning. Competitive compensation and career growth opportunities. Qualification : Bachelors/Masters/PhD degree in Computer Science, Statistics, or a related field.

Principal Scientist Business Unit: DALP Location: Bangalore About Adobe Adobe leads the digital experience revolution, empowering creators and global brands with innovative tools to design, deliver, and transform how companies interact with customers across every screen. Recognized for 20 consecutive years on Fortune s 100 Best Companies to Work For, Adobe fosters an inclusive, collaborative, and growth-driven culture where new ideas thrive. Role Summary As Principal Scientist for Adobe Learning Manager (ALM), you will spearhead the architecture and delivery of a next-generation, AI-powered eLearning platform supporting tens of millions of learners globally with 40% YoY growth. Your mission is to design scalable, resilient, and ACID-compliant systems that handle unpredictable workloads while enabling hyper-personalized learning experiences through generative AI. Key Responsibilities Lead the technical vision, design, and roadmap for ALM s scalable SaaS platform. Deliver high-performance web services tailored to evolving business needs with a strong focus on scalability, security, and stability. Develop and refine engineering and business processes to enhance team productivity and product quality. Architect solutions that elegantly split complex workflows between data lakes and business logic layers. Mentor and guide junior engineers, fostering innovation and technical excellence. Stay ahead of industry trends and integrate cutting-edge technologies to maintain Adobe s competitive edge. Lead customer-centric initiatives and collaborate closely with cross-functional teams to deliver impactful solutions. What You Need to Succeed Bachelor s degree in Computer Science or Software Engineering. 15+ years of experience building and maintaining highly available, scalable SaaS services, with at least 4 years as a Lead or Chief Architect. Expert proficiency in Java, Spring framework, Tomcat, AWS Cloud, and relational databases like MySQL. Strong problem-solving skills coupled with excellent verbal and written communication abilities. Passion for solving complex customer challenges and pioneering new technological and UX frontiers. Ability to thrive amid ambiguity and shifting priorities while leading technical and non-technical stakeholders. Join a global leader driving innovation in digital experiences and eLearning. At Adobe, you ll influence the future of learning technology, work alongside passionate experts, and be part of a culture that values creativity, diversity, and continuous growth. Qualification : Bachelors degree in Computer Science or Software Engineering.

Principal Engineer Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko: Serko is a cutting-edge technology platform transforming global business travel and expense management. Joining Serko means becoming part of a passionate team of travelers and technologists who bring people together through the world s leading business travel marketplace. As an equal opportunity employer, we value diversity and authenticity to create meaningful impact worldwide. With offices in New Zealand, Australia, North America, China, and now Bengaluru, we are rapidly expanding our global footprint. Role Overview: As a Principal Engineer at our Bengaluru office, you will shape the technical vision and architecture of our products, working closely with engineering leadership and product teams. This pivotal role is ideal for someone who thrives on solving complex engineering problems, driving architectural excellence, mentoring peers, and staying hands-on with coding. Key Responsibilities: Define and evolve the technical direction for product streams in collaboration with senior engineers, architects, and product stakeholders. Champion best engineering practices focused on code quality, performance, maintainability, and security. Lead by example: write clean, efficient, scalable code and guide others through architecture, design, and code reviews. Identify and resolve cross-team technical challenges, ensuring alignment with architectural goals and on-time delivery. Collaborate closely with Product Managers and Designers to build impactful features that address real user needs. Research and evaluate new technologies to enhance platform capabilities and improve engineering processes. Mentor and coach engineers within your team and across product streams, fostering a culture of ownership, collaboration, and continuous growth. Stay up-to-date with industry trends and contribute to improving software development, testing, and delivery practices. What You ll Bring: Strong hands-on expertise in modern technologies such as Java, Kotlin, .NET, React, AWS, or similar tech stacks relevant to your stream. Solid understanding of software architecture, system design, and performance in production environments. Proven ability to solve complex engineering challenges in a collaborative, team-oriented environment. Pragmatic approach balancing immediate needs with long-term scalability and maintainability. Excellent communication and collaboration skills. Experience mentoring engineers and guiding them through design and development processes. Familiarity with Agile methodologies and CI/CD pipelines. Bachelor s degree in Computer Science, Engineering, or a related field or equivalent practical experience. Benefits: Competitive base salary. Comprehensive medical benefits. Discretionary incentive plan based on individual and company performance. Access to learning & development platforms to support career growth. Flexible work policies promoting work-life balance. Supportive environment with the right tools to help you deliver high-quality, innovative solutions. Qualification : Bachelors degree in Computer Science, Engineering, or a related fieldor equivalent practical experience.

Senior Principal Engineer Bengaluru, India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a pioneering global tech platform transforming business travel and expense management. We unite passionate travelers and technologists through the world s leading business travel marketplace. As an equal opportunity employer, Serko embraces diversity and authenticity to drive meaningful impact. With offices in New Zealand, Australia, North America, China, and our new hub in Bengaluru, India, we are rapidly expanding our global footprint to build world-class products and teams. Role Overview: Senior Principal Engineer Technical Leadership & Innovation As a Senior Principal Engineer at Serko, you will be instrumental in shaping the technical vision and driving engineering excellence across multiple product streams. You ll collaborate closely with engineering leadership and cross-functional teams to solve complex challenges, lead strategic projects, and foster a culture of innovation and high performance. Key Responsibilities Technical Leadership: Champion engineering best practices, embedding them across teams to elevate quality and consistency. Cross-Stream Collaboration: Proactively resolve coordination challenges to keep teams aligned and productive. Customer-Centric Delivery: Partner with Product Managers to ensure pragmatic, high-impact solutions that maximize customer value. Project Leadership: Lead or contribute to critical technical projects, prototypes, and innovative solutions addressing high-priority challenges. Mentorship: Guide and mentor engineers, sharing expertise to build technical capability and foster career growth. Performance Optimization: Continuously improve system scalability, reliability, and performance. Innovation & Research: Stay abreast of industry trends and emerging technologies to introduce fresh approaches and maintain technical leadership. Process Improvement: Drive continuous enhancements in product development processes to boost efficiency and customer satisfaction. Stakeholder Engagement: Maintain clear communication with stakeholders, gathering insights and providing regular updates. Qualifications & Skills Deep expertise in relevant technologies, tools, and programming languages aligned with your product stream. Proven problem-solving skills and meticulous attention to detail. Experience leading teams through complex technical changes and maintaining alignment between Product and Technology organizations. Strong interpersonal and communication skills for effective collaboration. Ability to work independently and collaboratively in a fast-paced, agile environment. Tertiary qualification in Engineering or related discipline, or equivalent experience. Competitive Compensation: Attractive base salary complemented by medical benefits and performance-based incentives. Professional Growth: Access to a comprehensive learning & development platform to own your career journey. Flexible Work Environment: Policies that support work-life balance and remote collaboration. Innovative Culture: Join a passionate team dedicated to transforming the future of business travel technology. Join Serko s Bengaluru team as a Senior Principal Engineer and lead the engineering innovations shaping global business travel! Apply now.

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!

Data Scientist Experience: 5+ Years Location: Bangalore, Karnataka, India Job Type: Full Time Job Summary We are seeking an experienced Data Scientist with over 5 years of expertise to join our innovative team in Bangalore. The ideal candidate will have hands-on experience in advanced statistical methods, machine learning, and deep learning frameworks, combined with strong skills in deploying models at scale. Key Responsibilities Apply advanced Statistics and Operations Research methods to solve complex business problems. Develop and deploy predictive and machine learning models using frameworks such as PyTorch, TensorFlow, Keras, and XGBoost. Utilize data engineering and big data tools including PySpark, Databricks, and Flask for building scalable data solutions. Implement and fine-tune NLP models like RNN, LSTM, and attention-based architectures, leveraging pre-trained models from Stanford, IBM, Azure, and OpenAI. Design and optimize efficient SQL queries to extract data from large databases. Work with visualization tools like D3.js, Dash Plotly, and deploy interactive dashboards using Streamlit. Utilize graph databases such as Neo4j for complex data relationships. Manage version control with tools like GitHub or Bitbucket. Deploy machine learning models into production environments using MLOps practices on cloud platforms such as AWS or Azure. Required Skills 5+ years of professional experience as a Data Scientist or similar role. Strong foundation in statistics, machine learning, and deep learning techniques. Proficient in Python-based data science libraries and frameworks. Hands-on experience with cloud-based MLOps and deployment. Excellent SQL skills for data extraction and manipulation. Experience with version control systems and collaborative development. Familiarity with NLP techniques and modern pre-trained language models. Strong problem-solving and communication skills. Qualifications Any graduate degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Join a forward-thinking company in Bangalore, where you will work with cutting-edge technologies to create impactful data-driven solutions. Grow your career in an environment that values innovation, diversity, and continuous learning.

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

Principal Data Scientist / Data Science Manager Ads Team Location: Bangalore, Karnataka | Department: Tech Shape the Future of AdTech at Meesho Join Meesho s high-impact Data Science team often compared to the Avengers for our ability to solve some of the toughest data problems in India s e-commerce landscape. We build intelligent, scalable systems that serve millions of users across diverse product categories. Our work in fraud detection, inventory optimization, and platform vernacularization continues to unlock new possibilities in digital commerce. Now, as part of our Ads team, we re seeking a visionary Principal Data Scientist / Data Science Manager to elevate our advertising technology through cutting-edge machine learning solutions. About the Role As a leader within our AdTech division, you ll design, implement, and scale innovative ML solutions for real-time bidding, ad ranking optimization, budget pacing, and performance measurement. Your work will drive business impact and help define the future of our monetization strategy. Key Responsibilities Design and develop advanced bidding and budget pacing algorithms to optimize ad spend and ROI Create experimental frameworks to measure ad effectiveness and attribution Collaborate cross-functionally to transform business needs into efficient AI/ML-based solutions Define and communicate the long-term data science roadmap with business and tech leadership Mentor junior data scientists and guide team-level strategy Lead research initiatives in ML, auction theory, and AdTech domains Required Qualifications B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience Strong expertise in auction theory, predictive modeling, causal inference, and reinforcement learning Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Experience with big data tools and environments Proven ability to mentor teams and manage complex analytical projects Excellent written and verbal communication skills Preferred Qualifications M.Tech or Ph.D. in Computer Science or related discipline with ML specialization 3+ years of experience working in AdTech, real-time bidding systems, or programmatic advertising Track record of taking ML research to production Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI) About Meesho Meesho is India s top-rated e-commerce workplace and the first Indian horizontal e-commerce platform. We empower over 1.75 million sellers and serve customers across every serviceable pincode in India. Our platform enables small businesses and entrepreneurs to thrive online by offering zero commission, lowest shipping cost, and state-of-the-art logistics support. We combine local relevance with a strong technology backbone to deliver a uniquely inclusive shopping experience. Our Mission Democratizing Internet Commerce for Everyone We aim to enable 100 million small businesses to sell online. Our seller-first approach, innovation-first culture, and focus on the underserved population of Bharat drive everything we do. Our Culture & Benefits At Meesho, we ve built a people-first, high-performance culture backed by 11 guiding principles (our "Mantras"). Our employees benefit from a workplace that encourages reflection, continuous growth, and mobility. What We Offer: Competitive compensation including equity options and performance bonuses Comprehensive wellness support via our MeeCare Program medical, mental, and financial wellbeing Flexible benefits, including generous leave policies, parental support, and L&D assistance Support with relocation, telehealth, fitness, and recreational discounts Frequent engagement activities, performance recognition, and a fun, inclusive environment If you are ready to lead transformative projects in advertising and machine learning at scale, apply today and help us redefine commerce in India. Apply now and join Meesho s Data Science revolution. Qualification : B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience

Data Scientist with GenAI-2 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

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.