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Chubb

<div>
 
 
 About Chubb
 
 
 
 Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com.
 
 
 
 
 
 
 About Chubb India
 
 
 
 At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work&reg; for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.
 
 
 With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
 
 
 We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
 
 
 
 
 
 
 Position Details:
 
 
 <ul>
 <li>
 
 Job Title
 
 : Senior/Lead AI/ML Engineer
 </li>
 <li>
 
 Function/Department
 
 : Analytics
 </li>
 <li>
 
 Location
 
 : Bangalore, India
 </li>
 <li>
 
 Employment Type:
 
 Full-time
 </li>
 </ul>
 
 
 Role Overview:
 
 
 
 As an AI Engineer, you&rsquo;ll be working with a global team of AI and machine learning practitioners, software engineers, and business and solution architects to implement state of the art - AI enabled digital solutions to transform the P&amp;C insurance globally. This position offers the opportunity to develop, deploy, and optimize Large Language Models (LLMs)
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Work closely with team of AI engineers to design, build, and serve LLMs to solve complex business challenges using Azure (CPU &amp; GPU environments)
 </li>
 <li>
 Researching &amp; implementing state of the art LLM techniques including pre-training, fine-tuning, preference alignment, and deployment while also focusing on prompt engineering and generative AI more broadly
 </li>
 <li>
 Heavily focusing on developing novel data sets that enable LLMs to perform new tasks as well as tooling/platforming to collect these samples at scale. You will need strong python data fundamentals coupled with a software mindset for making data processing and collection pipelines repeatable, scalable, and high quality.
 </li>
 <li>
 Ensure high quality code that meets business objectives, quality standards and development guidelines.
 </li>
 <li>
 Building reusable pipelines, processes, and tools to streamline LLM and generative AI workflows
 </li>
 <li>
 Manage project stakeholder expectations and issue communications on progress.
 </li>
 <li>
 React to shifting priorities without compromising deadlines and momentum.
 </li>
 </ul>
 
 
 
 
 
 Skills and Qualifications:
 
 
 <ul>
 <li>
 3 + years&rsquo; experience in AI/ML.
 </li>
 <li>
 Experience in LLM Engineering &ndash; pretraining, post-training /alignment
 </li>
 <li>
 Deep expertise in writing and reviewing production code in Python.
 </li>
 <li>
 Understanding the development lifecycle for LLMs&mdash; developing data sets for pre-training, instruction tuning, and preference alignment alongside the modelling techniques for each stage and LLM deployment is as MAJOR plus.
 </li>
 <li>
 Multi-disciplinary approach to problem solving, including
 
 excellent
 
 interpersonal and communication skills (written and verbal). This includes crisply talking about technical solutions while being able to collaborate with business architects effectively.
 </li>
 <li>
 Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale.
 </li>
 <li>
 Experience on distributed, high throughput and low latency architectures
 </li>
 <li>
 Strong fundamentals in NLP techniques for text representation, semantic extraction techniques, data structures and modeling.
 </li>
 <li>
 Experience building software on top of major container technology (Kubernetes, Docker etc.)
 </li>
 </ul>
 
 
 
 
 
 Why Chubb?
 
 
 
 Join Chubb to be part of a leading global insurance company!
 
 
 Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
 
 <ul>
 <li>
 
 Industry leader:
 
 Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
 </li>
 <li>
 
 A Great Place to work:
 
 Chubb India has been recognized as a Great Place to Work&reg; for the years 2023-2024 and 2024-2025
 </li>
 <li>
 
 Laser focus on excellence
 
 : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
 </li>
 <li>
 
 Start-Up Culture
 
 : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
 </li>
 <li>
 
 Growth and success
 
 : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment
 </li>
 </ul>
 
 
 
 
 
 Employee Benefits
 
 
 
 Our company offers a comprehensive benefits package designed to support our employees&rsquo; health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
 
 <ul>
 <li>
 Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances.
 </li>
 <li>
 Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
 </li>
 <li>
 Health and Welfare Benefits: We care about our employees&rsquo; well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
 </li>
 </ul>
 
 
</div>

Senior/Lead AI/ML Engineer

Capgemini

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Gen AI ,Computer vision, Cloud exp , Azure
 </li>
 <li>
 Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical
 </li>
 <li>
 Need to have a natural desire to go beneath the surface of a problem. Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.
 </li>
 <li>
 Good knowledge &amp; experience in Artificial Neural Network ( ANN ), AI conversational Chatbot &amp; Needs to be able to write the required Algorithm and coding programming. Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Your Profile
 
 
 
 <ul>
 <li>
 Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.
 </li>
 <li>
 Data scientists should have at least some of the following capabilities : Cleaning data, formatting data, Having the ability to query databases &amp; perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. Being able to develop or program databases.
 </li>
 <li>
 Having a good understanding of design &amp; architecture principles.
 
 
 </li>
 </ul>
 
 What Will You Love Working At Capgemini
 
 
 
 <ul>
 <li>
 Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons.
 </li>
 <li>
 At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
 </li>
 <li>
 Employees rate the work culture highly (4.1/5), appreciating the collaborative environment and supportive teams
 </li>
 <li>
 Hybrid work models and flexible timings are common, with many roles offering remote or partially remote options
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Data Scientist

Microsoft

<div>
 AI is the strategic bet for Microsoft.
 
 The
 
 
 Azure CoreAI Platform
 
 is right at the front end. Our project involves cutting edge technologies and problems. Joining the projects you will gain knowledge and experience about generative AI, large language model, transformers, GPU optimization, AI applications, etc. The AI business is also growing rapidly, and our products will directly face the impact of the large number of customers, which is continuously growing.
 
 
 
 
 Within the AI Platform, the CoreAI team enables data scientists and developers to build quickly and easily, train, deploy, manage, and consume machine learning models.
 
 
 The Core AI MaaS&amp;RP team is hiring Software Engineers. The team designs, builds, and operates the largest scale engineering system in the industry for Large Language Models and GenAI Services. Key areas that we are working on
 
 
 <ul>
 <li>
 Building and Scaling our Inferencing Cloud across our flagships AOAI Service and growing the Model as A Service model Families.
 </li>
 <li>
 Expand the Gen AI Model Offerings to more model providers, and best and latest models and provide a unified experience across AOAI and MAAS/MAAP for Azure AI customers
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements
 </li>
 <li>
 Leads discussions for architecture of products/solutions and creates proposals for architecture by testing design hypotheses
 </li>
 <li>
 Leads by example within the team by producing extensible and maintainable code. Applies debugging tools and examines logs to verify assumptions through writing and developing code
 </li>
 <li>
 Respond, resolve, and integrate customer feedback with agility and dedication
 </li>
 <li>
 Takes ownership for key parts of the LLM platform, and delivers end to end solutions alongside product stakeholders and provides operational support.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline and 1-3 years technical engineering experience with coding in languages including, but not limited to, Python, C#, Java, JavaScript, or equivalent experience.
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience on python, pytorch, large language model, generative AI.
 </li>
 <li>
 Experience with distributed systems design and implementation
 </li>
 <li>
 Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
 </li>
 <li>
 Passion for Generative AI, LLMs, Model Training, Model Inference, Machine learning.
 </li>
 <li>
 Experience working on large-scale projects or applications
 </li>
 <li>
 Good communication skills and ability to collaborate with diverse remote teams
 </li>
 <li>
 Quick learner with a passion for solving complex and exciting problems
 </li>
 <li>
 Familiarity with Azure is a plus
 
 
 </li>
 </ul>
 
 
 
 #IDCoreAIPlatformHiring
 
 
 
 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.
 
 
 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>

Software Engineer

PwC Acceleration Center India

<div>
 
 PwC AC is hiring for Data scientist
 
 
 Apply and get a chance to work with one of the Big4 companies #PwC AC.
 
 
 
 
 
 
 Job Tit
 
 le
 
 :
 
 Data scientist
 
 
 
 Years of Experienc
 
 e: 3-7 years
 
 
 
 Shift Timin
 
 gs: 11AM-8PM
 
 
 
 Qualificati
 
 on: Graduate and above(Full time)
 
 
 
 
 
 
 About PwC CTIO &ndash; AI Engineering
 
 
 
 PwC&rsquo;s
 
 Commercial Technology and Innovation Office (CTIO)
 
 is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
 
 AI Engineering
 
 team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior Associate &ndash; Data Science/ML/DL/GenAI
 
 to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
 </li>
 <li>
 Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
 </li>
 <li>
 Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
 </li>
 <li>
 Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
 </li>
 <li>
 Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
 </li>
 <li>
 Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
 </li>
 <li>
 Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
 </li>
 <li>
 Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 3 to 7 years
 
 of experience in Data Science/ML/AI roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
 </li>
 <li>
 Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 , including prompt engineering, LLM fine-tuning, and deployment.
 </li>
 <li>
 Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
 </li>
 <li>
 Strong knowledge of NLP techniques, transformer architectures, and text analysis.
 </li>
 <li>
 Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
 </li>
 <li>
 Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
 </li>
 <li>
 Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
 </li>
 <li>
 Exposure to deploying AI models via APIs and integration into larger data ecosystems.
 </li>
 <li>
 Strong understanding of model operationalization and lifecycle management.
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
 </li>
 <li>
 Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
 </li>
 <li>
 Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Team Expectations
 
 
 <ul>
 <li>
 Strong written and verbal communication; able to explain complex models to business stakeholders.
 </li>
 <li>
 Ability to independently document work, manage requirements, and self-drive technical discovery.
 </li>
 <li>
 Desire to innovate, improve, and automate existing processes and solutions.
 </li>
 <li>
 Active contributor to team knowledge sharing, technical forums, and innovation drives.
 </li>
 <li>
 Strong interpersonal skills to build relationships across cross-functional teams.
 </li>
 <li>
 A mindset of continuous learning and technical curiosity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 (at least two are preferred)
 
 
 
 <ul>
 <li>
 Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
 </li>
 <li>
 Python programming certifications (e.g., PCEP/PCAP).
 </li>
 <li>
 Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
 </li>
 </ul>
 
 
 
 
 
 Why Join PwC CTIO?
 
 
 <ul>
 <li>
 Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
 </li>
 <li>
 Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
 </li>
 <li>
 Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
 </li>
 <li>
 Operate in a startup-like environment within the safety and structure of a global enterprise.
 </li>
 <li>
 Accelerate your career as a deep tech leader in an AI-first future.
 </li>
 </ul>
</div>

Indium

<div>
 
 
 We're Hiring: Data Scientist
 
 
 
 
 
 
 
 Exp
 
 -3-6years
 
 
 
 Location:
 
 Bangalore / Hyderabad
 
 
 
 Work Type:
 
 Full-Time | Hybrid
 
 
 
 Skills:
 
 NLP or Computer Vision - Text &amp; Image Automation, AI/ML Algorithms, Statistics, Qualitative analysis, project management
 
 
 
 Apply: Click Here
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 
 We are seeking a highly motivated and detail-oriented
 
 Machine Learning Engineer
 
 with expertise in
 
 ML algorithms, statistics, NLP or computer vision
 
 , and a strong inclination toward
 
 project ownership and delivery
 
 . The ideal candidate is not only technically proficient but also highly organized, hardworking, and capable of driving projects independently or as part of a collaborative team.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 machine learning models
 
 for real-world applications.
 </li>
 <li>
 Apply
 
 statistical methods
 
 and
 
 quantitative analysis
 
 to extract insights and optimize models.
 </li>
 <li>
 Build solutions in
 
 NLP or computer vision
 
 , particularly in
 
 text and image automation
 
 workflows.
 </li>
 <li>
 Work on end-to-end
 
 AI/ML project lifecycle
 
 , from problem definition to deployment and monitoring.
 </li>
 <li>
 Collaborate cross-functionally with data scientists, engineers, and stakeholders to meet project goals.
 </li>
 <li>
 Manage project timelines, track progress, and ensure timely delivery of high-quality outcomes.
 </li>
 <li>
 Demonstrate a strong work ethic, ownership mindset, and accountability throughout project execution.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of
 
 machine learning algorithms
 
 and statistical techniques.
 </li>
 <li>
 Experience with
 
 NLP (Natural Language Processing)
 
 or
 
 Computer Vision
 
 .
 </li>
 <li>
 Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV, spaCy).
 </li>
 <li>
 Familiarity with
 
 data preprocessing
 
 , model evaluation, and performance tuning.
 </li>
 <li>
 Strong analytical and problem-solving skills with a data-driven mindset.
 </li>
 <li>
 Excellent project management skills &ndash; ability to multitask, prioritize, and deliver on deadlines.
 </li>
 <li>
 Self-driven and hardworking, with a proactive approach to learning and development.
 </li>
 </ul>
 
 
 
 
 
 🌟 What&rsquo;s in It for You?
 
 
 
 
 
 
 
 A Happy Workplace
 
 We go beyond the ordinary to create a fun, inclusive, and collaborative work environment.
 
 
 
 Health Comes First
 
 Medical insurance for you and your family, 1:1 mental wellness sessions, and wellness initiatives.
 
 
 
 Skill Up to Scale Up
 
 Access to
 
 Indium Academy
 
 , our internal learning platform, and continuous upskilling support.
 
 
 
 Work-Life Balance
 
 Flexible hybrid work model + plenty of destressing and employee engagement activities.
 
 
 
 
 
 
 About Indium
 
 
 -
 
 Click Here
 
 
 
 
 
 Indium Tech is a next-gen digital engineering company driving innovation across Application Engineering, Generative AI, Data &amp; AI, Cloud &amp; Product Engineering, Intelligent Automation, Low-Code Development, Gaming, and Quality Engineering.
 
 
 
 
 
 With over 25 years in the industry and a vibrant team of 5,000+ professionals across India, Indium is trusted by global enterprises to deliver cutting-edge digital solutions. Our expertise has earned us recognition from Forbes as one of the Top AI Products and Clutch a Top Data Analytics Company, and ISG as Strong Contender in Data Science Services.
 
 
 
 
 
 We're proud to be Great Place to Work certified and ranked on the Inc. 5000 list of America's fastest-growing companies.
 
 
 
 
 
 #MachineLearning#ArtificialIntelligence Let&rsquo;s build something impactful together.
 
 
 #Hiring #MachineLearning #AI #DataScience #NLP #ComputerVision #MLJobs #TechJobs #ArtificialIntelligence #Python #DeepLearning #Statistics #Automation #JoinOurTeam #CareerOpportunity#NLP#MLAlgorithms
 
</div>

<div>
 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
 
 
 
 
 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.
 
 
 
 
 
 
 
 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
 
 
 
 Job Description:
 
 Qualifications (Required/Minimum and Preferred)
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 3+ years experience or Master&rsquo;s Degree with 1+ 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>
 Experience in designing and developing LLM-based tools.
 </li>
 <li>
 Experience in building data-driven techniques that apply AI and ML to solve problems.
 
 
 </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>

Software Engineer II

LinkedIn

<div>
 LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world&rsquo;s workforce in ways no other company can. We&rsquo;re much more than a digital resume -- we transform lives through innovative products and technology.
 
 
 Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour &mdash; and tens of millions more shares and likes.
 
 
 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:
 
 - Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 
 - Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 
 - Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 
 - Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 
 - Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 
 - Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 
 - Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 
 - Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 Basic Qualifications:
 
 - Bachelor&rsquo;s degree or related practical experience
 
 - 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.
 
 
 
 Preferred Qualifications:
 
 - Master&rsquo;s degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
 
 - 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.
 
 - Understanding of standard programming and software engineering practices
 
 - Proven track record of publishing at academic and industry venues
 
 - Ability and eagerness to program
 
 
 Suggested Skills:
 
 - Machine Learning
 
 - Generative-AI
 
 - Large Language Models
 
 
 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.
 
 
 
 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
 
 This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal
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Software Engineer, Machine Learning

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Software Engineer, Machine Learning