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Microsoft

<div>
 The MCAPS AI Transformation (AIT) organization is at the forefront of Microsoft&rsquo;s mission to accelerate AI-driven business value for customers and partners. As a Data Scientist in MCAPS AIT, you will join a dynamic team dedicated to building innovative AI and ML solutions that enrich employee experiences, reinvent customer engagement, and reshape business processes. You will be responsible for designing, developing, and maintaining AI/ML solutions and data products to support our business goals. You will work in a collaborative, growth-mindset environment, leveraging Microsoft&rsquo;s cutting-edge AI stack&mdash;including Copilot, LLMs, and cloud-native technologies&mdash;to deliver scalable, secure, and high-impact products. The ideal candidate will have a strong background in data science, be detail-oriented, and possess excellent problem-solving skills. Our data scientists are empowered to experiment, learn, and drive measurable impact across Microsoft&rsquo;s global commercial ecosystem.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy robust AI/ML models that support business objectives.
 </li>
 <li>
 Conduct exploratory data analysis and communicate findings to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams&mdash;including product managers, data scientists, data engineers and UX designers&mdash;to deliver end-to-end features from concept to production.
 </li>
 <li>
 Participate in code reviews, architecture discussions, and contribute to data science and engineering best practices.
 </li>
 <li>
 Assist in building and maintaining models and data science pipelines for MCAPS business units.
 </li>
 <li>
 Write well-documented, high-quality, and maintainable code.
 </li>
 <li>
 Ensure solutions adhere to Microsoft&rsquo;s Responsible AI principles, compliance, and security standards.
 </li>
 <li>
 Contribute to a culture of inclusion, innovation, and technical excellence within the AIT organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Engineering, or a related technical field wih a miniumum 3 years' experience and at least 2 years' in Data Science.
 </li>
 <li>
 Strong programming skills in Python, SQL, PySpark and proficiency in data science libraries (e.g., scikit-learn, pandas, NumPy).
 </li>
 <li>
 Mastery of machine learning fundamentals and statistical modelling.
 </li>
 <li>
 Knowledge of LLMs and Azure AI stack / services including Azure AI Foundry and Copilot Studio.
 </li>
 <li>
 Strong problem-solving skills and a passion for learning new technologies.
 </li>
 <li>
 Demonstrated ability to leverage AI tools (e.g., GitHub Copilot, Azure AI Foundry) for code generation, automation, and productivity enhancement.
 </li>
 <li>
 Ability to work collaboratively in a team environment and communicate technical concepts clearly.
 </li>
 <li>
 Demonstrated ability to drive innovation and deliver results in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in multiple programming languages and development frameworks.
 </li>
 <li>
 Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code.
 </li>
 <li>
 Familiarity with version control systems (e.g., Git).
 </li>
 <li>
 Experience with Generative AI and familiarity with Microsoft&rsquo;s AI ecosystem and tools such as Copilot Studio.
 </li>
 <li>
 Knowledge of security, compliance, and Responsible AI principles in software development.
 </li>
 <li>
 Experience with Azure cloud platform and building distributed systems or web services.
 
 
 </li>
 </ul>
 #AITjobs
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Data Scientist

<div>
 
 Role Description
 
 
 
 Essential Requirements Solid experience in a related role or equivalent,
 
 
 skill/education; must include deep knowledge of data science principles. 5-8 years Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus Desirable Requirements Master&rsquo;s or PhD in a quantitative discipline. Ability to act as a coach to the team and strong product/technology/industry knowledge
 
 
 
 Skills
 
 
 
 Python,SQL ,Machine Learning
</div>

Data Scientist( Machine Learning, Python, SQL, Gen AI)

Impetus

<div>
 
 Experience: 5 - 12 years
 
 
 
 
 
 Location: Bangalore, Noida, Gurgaon, Pune, Hyderabad, Indore
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
 </li>
 <li>
 Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
 </li>
 <li>
 Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
 </li>
 <li>
 Ability to understand business requirements.
 </li>
 <li>
 Usecase derivation and solution creation from structured/unstructured data
 </li>
 <li>
 Storytelling, Business Communication and Documentation
 </li>
 <li>
 Programming Skills &ndash; Python, Scikit-Learn, TensorFlow, PyTorch, Keras
 </li>
 <li>
 Exploratory Data Analysis
 </li>
 <li>
 Machine Learning and Deep Learning Algorithms
 </li>
 <li>
 Model building, Hyperparameter tuning, and Model performance metrics
 </li>
 <li>
 MLOps, Data Pipeline, Data engineering
 </li>
 <li>
 Statistics Knowledge (Probability Distributions, Hypothesis Testing)
 </li>
 <li>
 Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
 </li>
 <li>
 ML services from Clouds such as AWS, GCP, Azure and Databricks
 </li>
 <li>
 
 Optional
 
 - Databricks, Big Data -Basic knowledge of Spark, Hive
 </li>
 </ul>
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 
 
 Acquire skills required for building Machine learning models and deploy them for production.
 
 
 Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills
 
 
 Develop Cloud based applictions including LLM/GenAI and deploy them into production.
 
 
 
</div>

<div>
 
 Business Group Overview
 
 
 
 <ul>
 <li>
 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.
 
 
 </li>
 </ul>
 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
 
 
 
 
 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
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 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
 </li>
 <li>
 OR equivalent experience
 </li>
 <li>
 Excellent technical design, problem solving and debugging skills
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 <li>
 Customer obsession and passion for shipping high quality products
 </li>
 <li>
 Experience in designing and developing LLM-based tools to do transformations of code.
 </li>
 <li>
 Experience in building data-driven techniques that apply AI and ML to solve software engineering tasks.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 </li>
 <li>
 Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 </li>
 <li>
 Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 </li>
 <li>
 Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 </li>
 <li>
 Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 </li>
 <li>
 Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 </li>
 <li>
 Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 </li>
 <li>
 Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or related practical experience
 </li>
 <li>
 2+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
 </li>
 <li>
 3+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 </li>
 <li>
 Understanding of standard programming and software engineering practices
 </li>
 <li>
 Proven track record of publishing at academic and industry venues
 </li>
 <li>
 Ability and eagerness to program
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Generative-AI
 </li>
 <li>
 Large Language Models
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Software Engineer, Machine Learning

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with and lead highly experienced and passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 </li>
 <li>
 Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 </li>
 <li>
 Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 </li>
 <li>
 Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 </li>
 <li>
 Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 </li>
 <li>
 Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 </li>
 <li>
 Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 </li>
 <li>
 Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Master's degree OR Bachelor's degree with 5+ years of work experience
 </li>
 <li>
 5+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in computer science, statistics, engineering, mathematics, or similar quantitative discipline
 </li>
 <li>
 5+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 </li>
 <li>
 Understanding of standard programming and software engineering practices
 </li>
 <li>
 Proven track record of publishing at academic and industry venues
 </li>
 <li>
 Ability and eagerness to program
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Generative-AI
 </li>
 <li>
 Large Language Models
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Senior Software Engineer, Machine Learning

Landmark Group

<div>
 
 About the Role- We are looking for a highly skilled
 
 Tooling and AI Automation Engineer with 5+ years
 
 of relevant experience to join our Automation team&mdash;not in a traditional application testing but as a specialist focused on building internal tools, test intelligence platforms, dashboards, and AI-driven test enablement frameworks.
 
 
 
 
 
 
 Required Skills:
 
 
 
 &bull; Proficiency in
 
 Java
 
 / Python.
 
 
 &bull; Experience in building REST APIs or microservices for internal use and building new testing frameworks from scratch.
 
 
 &bull; Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress,
 
 Selenium
 
 ).
 
 
 &bull; Solid Hands on experience in API Testing using
 
 Rest Assured
 
 , Mobile Automation using
 
 Appium
 
 and basics of
 
 Performance testing.
 
 
 
 &bull; Working knowledge or experience with Mabl, TestRigor, or any
 
 AI automation tool
 
 .
 
 
 &bull; Experience with GenAI or LLM integration for test case generation or failure analysis.
 
 
 &bull; Experience integrating tools with
 
 CI/CD
 
 pipelines (Jenkins, GitHub Actions, GitLab CI).
 
 
 &bull; Familiarity with databases (SQL, NoSQL) and working with test data at scale.
 
 
 &bull;
 
 Good in Debugging, Test Case planning, problem solving and logical thinking.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms.
 
 
 &bull; Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization.
 
 
 &bull; Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics.
 
 
 &bull; Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts.
 
 
 &bull; Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.).
 
 
 &bull; Work closely with SREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted.
 
 
 &bull; Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability.
 
 
 &bull; Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices
 
 
 
</div>

Senior Quality Assurance Automation Engineer

Explore 111+ Ml engineer in Mangaluru this October. Find roles across top companies and apply now to boost your career.

111 ml engineer jobs IN Mangaluru

Data Scientist

Data Scientist( Machine Learning, Python, SQL, Gen AI)

Data Scientist

Senior Software Engineer

Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

Senior Quality Assurance Automation Engineer