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HDFC Bank

<div>
 
 
 Job Purpose:
 
 
 
 An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
 
 
 
 
 
 
 Desired Skills :
 
 
 <ul>
 <li>
 Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
 </li>
 <li>
 Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
 </li>
 <li>
 Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
 </li>
 <li>
 Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
 </li>
 <li>
 Experience working in cross-functional teams
 </li>
 <li>
 Strong analytical and problem solving skills
 </li>
 </ul>
</div>

AI/ML Engineer

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

Intuit

<div>
 
 Overview
 
 
 
 Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drives architecture decisions, influences and contributes to ML platform architecture and strategy
 </li>
 <li>
 Creates a multi-year vision that connects product strategy with technology strategy
 </li>
 <li>
 Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company
 </li>
 <li>
 Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.
 </li>
 <li>
 Weighs ROI considerations of general and tailored capabilities for projects in the team
 </li>
 <li>
 Creates new capabilities and technology shifts that solve critical business problems
 </li>
 <li>
 Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
 </li>
 <li>
 Influences business leaders and architects around the company to shape mission-critical projects
 </li>
 <li>
 Leads team and partners to the successful delivery and integration of ML solutions
 </li>
 <li>
 Conducts design reviews, and holds teams to technical and operational rigor.
 </li>
 <li>
 Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience
 </li>
 <li>
 Solid knowledge of statistical techniques
 </li>
 <li>
 3+ years as either a lead in a data science role or a management position in data science
 </li>
 <li>
 Strong communication skills and proven experience as an influencer at the executive level
 </li>
 <li>
 Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
 </li>
 <li>
 6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
 </li>
 <li>
 6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)
 
 
 </li>
 </ul>
 
 Strongly Preferred
 
 
 
 <ul>
 <li>
 PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
 </li>
 <li>
 Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
 </li>
 <li>
 Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
 </li>
 <li>
 Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
 </li>
 <li>
 Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
 </li>
 <li>
 Proven track record of influencing business leaders to shape mission-critical projects
 </li>
 <li>
 Proven track record of leading teams to successful delivery of ML solutions
 </li>
 <li>
 Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

Principal AI Scientist

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 
 
 
 *Why PWC
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more about us.
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
 
 
 
 Responsibilities:
 
 
 We are seeking a highly skilled and motivated Manager with expertise in artificial intelligence and machine learning. This is a full-time, hybrid position that offers an opportunity to work with cutting-edge technologies and contribute to innovative projects in the AI/ML domain. ## Key Responsibilities - Lead and manage projects centered around AI and ML applications. -Work on large language models (LLMs) such as OpenAI, Gemini, and Anthropic. - Implement retrieval-augmented generation (RAG) strategies, including embedding and chunking techniques. - Develop and optimize chatbots and conversational agents. - Leverage frameworks like LangFlow and LangChain for AI applications. - Utilize coding tools (e.g., Cursor, v0, Claude Code, VS Code + Copilot, Codex) to enhance development processes. - Perform specialized or small language model training and fine-tuning. - Collaborate with cross-functional teams to deliver high-quality solutions. Technical Skills required (must have) &middot; HandsOn Exposure to Generative AI (Design, development of GenAI application in production) &middot; Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. &middot; Strong understanding of deploying and optimizing AI application in production. &middot; Strong knowledge of statistical and data mining techniques like Linear &amp; Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. &middot; Strong knowledge of DL &amp; Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) &middot; Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs. &middot; Experience in advanced Text Analytics (NLP, NLU, NLG). &middot; Understanding of LLM Ops, ML Ops for scalable ML development. &middot; Working knowledge on agents like PyTorch, TensorFlow &middot; Proven capability in using Generative AI services like OpenAI, Google (Gemini) &middot; Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) &middot; Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique
 
 
 Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow
 
 
 Preferred skill sets:
 
 
 AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow
 
 
 Years of experience required:
 
 
 8-13 Years
 
 
 Education qualification:
 
 
 BE, B. Tech, M. Tech
 
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Full Stack Development
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

IN_Manager_Data Scientist Gen AI _Data & Analytics _Advisory _PAN India

Microsoft

<div>
 
 Overview
 
 
 
 The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure&rsquo;s innovation and differentiation, as well as all of Microsoft&rsquo;s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet
 
 
 Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our AI Foundry OSS Model Customization Team is at the forefront of this mission, working on groundbreaking projects for customizing of OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users.
 
 
 
 Responsibilities
 
 
 
 
 Job Responsibilities
 
 
 
 As a Software Engineer 2 in our team, you will:
 
 
 <ul>
 <li>
 Write clean and concise code with unit tests
 </li>
 <li>
 As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale. You will also be working on scaling these features for big data using distributed systems. You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features.
 </li>
 <li>
 Your responsibilities will include contributing to and/or backend stateful services written in C# hosted on Kubernetes clusters and Docker containers to provide meaningful features to the customers. You will also be working on improving Python SDK's existing features, designing new features, implementing them in our distributed, multi-component SDK, and owning the full lifecycle of the features including testing and release.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required and Preferred
 
 
 
 <ul>
 <li>
 4+ years of experience writing production code in building internet scale services and distributed systems.  Ability to debug, read code and work on a large and increasing codebase.
 </li>
 <li>
 Engineering knowledge of machine learning systems and data pipelines.
 </li>
 <li>
 Experience mentoring other developers, working partners and being a team player.
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer 2

<div>
 
 Overview
 
 
 
 
 Business Group Overview
 
 Core AI is at the forefront of Microsoft&rsquo;s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The Future of Scalable Software Engineering (FoSSE) team&rsquo;s objective is to build capabilities to enable AI-enabled modernization of very large code bases on a large scale and with very high quality.
 
 
 
 Job Purpose Overview
 
 In this role, you will help define the future of software development. You will help build and combine static analysis and ML tools to help AI handle the scale of large code bases. You will work with state-of-the-art LLMs and reasoning models, very large code bases, and use data from pull requests, static analysis warnings reports, and developer feedback from AI recommendations to build AI agents that scale.
 
 
 You will grow by developing both static analysis and ML based techniques that are needed to build coding agents that scale to large code bases. You will be onsite 3 days a week and learn and grow through working with talented colleagues.
 
 
 
 Standard Company, Culture, Candidate Value Proposition &ndash; Use the following:
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more, and we&rsquo;re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
 
 
 
 Responsibilities
 
 
 
 Responsibilities-
 
 
 
 Coding
 
 Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code.
 
 
 
 
 
 Design
 
 Contributes to the identification of dependencies, and the development of design documents for a product area with some help from manager or senior engineers.
 
 
 
 Machine Learning
 
 Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
 
 
 
 Algorithm Design and Implementation
 
 The ability to design, analyze, implement, optimize, profile and experimentally evaluate computer algorithms. Includes knowledge of practical applications of algorithms in software engineering.
 
 
 
 Qualifications
 
 
 
 Qualifications-
 
 
 
 Required Qualifications:
 
 Bachelor's Degree in Computer Science or related technical field AND 5+ years experience or Master&rsquo;s Degree with 3+ years of experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience Excellent technical design, problem solving and debugging skills
 
 
 Excellent communication and collaboration skills Customer obsession and passion for shipping high quality products Experience in designing and developing LLM-based tools to do transformations of code.
 
 
 Experience in building data-driven techniques that apply AI and ML to solve software engineering tasks.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Accessibility | Microsoft CareersDo what you love. Create the future you want. Explore the career options that Microsoft has to offer Stage.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Software Engineer

<div>
 
 Overview
 
 
 
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  MCAPS is Microsoft's unified commercial organization that brings together sales, partners, industry, and customer success teams to drive business impact at scale. It is designed to accelerate customer outcomes through AI-powered solutions, strategic partnerships, and deep industry expertise. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
 
 
 We are looking for a
 
 Data &amp; Applied Scientist
 
 
 II
 
 to join our team! As a member of the Customer Experience Data Science organization at Microsoft, you will help us accelerate the company&rsquo;s own AI transformation. You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsoft&rsquo;s sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges.
 
 
 
 This Role Offers The Opportunity To
 
 
 
 <ul>
 <li>
 Collaborate across a diverse team of data scientists, engineers, and product managers
 </li>
 <li>
 Deepen your expertise in the evolving AI and ML landscape
 </li>
 <li>
 Drive meaningful impact for thousands of Microsoft sales, marketing and support platform users
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
 </li>
 <li>
 Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
 </li>
 <li>
 Write robust, reusable, and extensible code to support analysis and modeling.
 </li>
 <li>
 Develop new ML or GenAI based models using advanced statistical and ML techniques.
 </li>
 <li>
 Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
 </li>
 <li>
 Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR master&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ year(s) related experience
 </li>
 <li>
 OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience
 </li>
 <li>
 Expertise in Python , PySpark, and SQL, LLMs
 </li>
 <li>
 Experience in Spark and ability to write/maintain/understand declarative Spark code and to cleanly write and maintain SQL. Knowledge of finer operational aspects of Spark such as setting optimal cluster size, executor memory, number of executors etc. and experience in Azure Synapse/Databricks (or similar) is a bonus.
 </li>
 <li>
 Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
 
 
 <ul>
 <li>
 This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications (Optional, At HM Discretion)
 
 
 
 <ul>
 <li>
 Build and deploy end-to-end ML pipelines and GenAI solutions for both batch and real-time use cases, ensuring scalability and reliability.
 </li>
 <li>
 Apply MLOps and AIOps best practices including model versioning, prompt versioning, experiment tracking, environment management, and understanding of CI/CD automation on cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Manage environment dependencies and containerization (Docker/Kubernetes) for reproducible, scalable deployments in any of the cloud platforms (AWS, Azure, GCP etc.).
 </li>
 <li>
 Exposure to some ETL pipelining frameworks such as Azure Data factory, Apache Airflow etc.
 </li>
 <li>
 Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)
 </li>
 <li>
 Experience in managing codebases in Git, creating release pipelines on CI/CD frameworks like Azure DevOps, Jenkins etc. along with creating/managing Python deployment scripts
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data & Applied Scientist II

Explore 150+ Ai ml engineer in Mangaluru this December. Find roles across top companies and apply now to boost your career.