Job Title: Machine Learning | Entry Level | Fresher Internship (Python, Scikit-learn, Model Evaluation) Company: MediNex Workforce Job Category: Machine Learning Roles & Responsibilities: What you will do Full\-time, Monday to Saturday or as assigned by your reporting manager, with daily check\-ins and a weekly review. Work Location: India Availability: Full time

Job Title: IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore Company: PwC Job Category: Machine Learning Roles & Responsibilities: Data, Analytics \& AI Management Level Manager Job Description \& Summary In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data\-driven decision\-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. \Why PWC Responsibilities: * Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C\+\+ is an added advantage. * Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. * Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). * Ability to perform preprocessing of structured and unstructured data: Processing, cleansing, and validating the integrity of data to be used for analysis. * Strong working experience with cloud platforms: build, train, and deploy ML Models on Azure/AWS/GCP. * Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). * Hand\-on experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). * Adaptation of foundation models/LLMs to address specific business challenges. * Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error\-free development environment. * Design, deploy and manage prompt\-based models on LLMs for various NLP tasks. * Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. * Familiarity with LLM orchestration and agentic AI libraries. * Good understanding of business and ability to translate domain problems to data science problem. Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI\-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data\-Driven Insights, Data Integration, Data Integrity {\+ 46 more} Desired Languages (If blank, desired languages not specified)* Work Location: Bengaluru, India Availability: Full time

Job Title: AI / ML Intern (Beginner Level) Company: Desirous Global Consulting Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Assist in data cleaning, preprocessing, and exploratory data analysis (EDA). * Support model training and evaluation using Scikit\-learn / TensorFlow / PyTorch. * Work on basic NLP tasks using HuggingFace Transformers and prompt engineering. * Help build simple GenAI workflows using LLM APIs and LangChain. * Contribute to vector search / retrieval (FAISS / Pinecone / Weaviate / MongoDB Vector Search). * Develop lightweight APIs for model inference using FastAPI / Flask. * Document experiments, results, and learnings in Jupyter notebooks. Work Location: Telangana, India Availability: Full time

Job Title: Senior Software Engineer II, Machine Learning Company: Poshmark Job Category: Machine Learning Roles & Responsibilities: The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world\-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitisation to name a few) Responsibilities * Manage the entire ML lifecycle from data collection to deployment and monitoring * Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models * Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale * Manage and support current solutions while evolving them to incorporate newer technologies * Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner * Stay updated with the latest developments in data science and machine learning * Pytorch, Tensorflow, Sklearn * Flask, Fastapi, Gunicorn, Quarkus * MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog * Docker, Kubernetes, Jenkins * Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus We Built Poshmark Around Four Core Values * Focus on People to create empowered communities that drive success; * Together we Grow to support each other to strive for our dreams; * Lead with Love to foster genuine connections built upon a foundation of respect; and * Embrace your Weirdness to accept and empower one another on their own unique journey. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Job Title: Quantitative Analytics Manager Company: Wells Fargo Job Category: Machine Learning Roles & Responsibilities: About this role: Wells Fargo is seeking a leader for Decision Modelling team in India, as part of the overall Decision Sciences and Analytics organization. This individual will lead the Model Monitoring team for all consumer decision models, provide guidance in business monitoring and also effectively interact with all stakeholders, ensuring end to end top quality model monitoring delivery. In this role, you will: * Manage a team responsible for the creation and implementation of low to moderate complex financial areas * Determine scope and prioritization of work in consultation with experienced management * Participate in the development of strategy, policies, procedures, and organizational controls with model users, developers, validators, and technology * Make decisions and resolve issues regarding operational risks and enable decision making in business, product, marketing, or other functional areas * Manage a team comprised of quantitative analysts and credit risk analysts * Interact with internal and external audit or regulators * Manage allocation of people and financial resources for Quantitative Analytics * Mentor and guide talent development of direct reports and assist in hiring talent * Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines * Good SAS skills in performing complex data manipulation and modeling in SAS and pivot table skills * Exposure to machine learning techniques and model development in Python * Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively. * Familiarity with U.S Credit Bureau Data * Excellent problem solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner. * Understanding of process, methodologies used in credit/fraud scoring model development, implementation, validation and monitoring * Ability to effectively manage multiple assignments with challenging timelines * Experience in statistical modeling techniques * Strong writing skills necessary for the review of highly detailed model documentation and reporting. * Flexibility and ability to thrive in a fast\-paced, rapidly changing, highly complex environment * Work on modeling and data analysis, credit risk scoring and/ or risk management. * Manage end to end model monitoring across all portfolios in consumer lending * Coordinating the various activities related to business analysis and model monitoring * Participate in the development and testing of various analytical models for business unit. * Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards. * Trouble\-shoot issues and pro\-actively enact solutions in real time. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance\-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Work Location: India Availability: Full time

Job Title: Applied AI Platform Engineer-DATA ENGINEER - Software Specialist Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Role Overview: As an Applied AI Platform Engineer II*, you will actively engage in your engineering craft, taking a hands\-on approach to building the platforms, tooling, accelerators, and frameworks that other engineering teams build on. Your expertise will be pivotal in delivering platform capabilities that delight the engineers who depend on them, while driving tangible leverage and value across Deloitte’s AI engineering investments. You will leverage your extensive engineering craftsmanship across platform engineering, distributed systems, and modern AI/ML and Data infrastructure, consistently demonstrating your strong track record in delivering high\-quality, reusable, outcome\-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross\-functional teams to design, build, and operate the enabling layer for AI engineering at scale. Key Responsibilities: * Embrace and drive a culture of accountability for engineering\-leverage and adoption outcomes. Build platform capabilities that solve recurring problems once, well, for many teams—reducing per\-team build and operate toil while ensuring consistency and compliance by default through high\-quality, lean designs and implementations. * Serve as the technical advocate for the platform as a product, ensuring capability integrity, feasibility, and alignment with the needs of the engineering teams who consume it. Lead requirement discovery with consuming teams, component design of platform services, frameworks, and the AI control plane, and their development, testing, integration, and support. * Maintain accountability for the integrity of the platform architecture and for the enterprise tech\-stack conformance baseline that engineering teams build against. Manage platform dependencies, code design, implementation, the data and policy\-as\-code enforcement layers, and the OpenTelemetry\-based instrumentation substrate—building capabilities that are operable, instrumented, performant, and drift\-resistant by design, to the production standards set by SRE. Stay hands\-on, self\-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, codify recurring patterns into reusable components and golden paths, and write high\-quality, supportable, scalable code to ensure all platform KPIs (adoption, reliability\-by\-design, and developer experience) are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. * Develop lean platform capabilities through rapid, inexpensive experimentation to solve the real needs of consuming engineering teams. Engage with those teams before, during, and after delivery to ensure the right capability is delivered at the right time—and adopted, not shelved. * Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning\-forward approach to navigate complexity and uncertainty, delivering platform capabilities as lean, adoption\-validated increments rather than big\-bang builds, and keeping them supportable and maintainable. * Work collaboratively with empowered, cross\-functional partners: engineering, SRE, security and risk, data governance, and engineering leadership and architecture. Integrate their constraints into the paved roads so that the secure, compliant, and reliable path is the easy path. Deliver capabilities that are admissible\-by\-design and submit them for admission, co\-defining service\-level objectives with SRE, who set production standards and own the admission decision. Foster a collaborative environment that enhances team synergy and innovation. * Possess expertise in platform engineering and modern AI/ML infrastructure—internal developer platforms, MLOps/LLMOps, model serving, retrieval and vector infrastructure, eval and observability tooling, policy\-as\-code, container orchestration, IaC, and CI/CD at platform scale—including AI and Agentic SSDLC to deliver self\-service, governed capabilities with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize platform solutioning and delivery. Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning. * Quickly acquire domain knowledge of the enterprise data estate and the AI use\-case patterns the platform must serve. Translate the needs of engineering teams, reference architectures, and governance requirements into reusable frameworks, the data platform, and governance\-as\-code enforcement. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. * Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well\-structured arguments and trade\-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. * Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co\-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost\-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom\-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting\-edge internal and go\-to\-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive Work Location: Karnataka, India Availability: Full time

Job Title: Senior Data Scientist- Finance & Spend, Data Labs Company: SAP Job Category: Machine Learning Roles & Responsibilities: * Design and maintain enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes harmonizing data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers into unified semantic layers. * Build AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production. * Develop AI capabilities including generative AI and LLM\-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. * Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order\-to\-Cash, Procure\-to\-Pay, Record\-to\-Report, and Plan\-to\-Produce to ground AI solutions in real enterprise reality. * Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. * Partner across product, engineering, business, and customer\-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement. * Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real\-world enterprise datasets. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end\-to\-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose\-driven and future\-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Requisition ID: 459702 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI / LLM Engineer Company: Infosys Limited Job Category: Machine Learning Roles & Responsibilities: Job Description: -------------------- Key Responsibilities: ------------------------- * Design and implement LLM powered workflows for summarization narrative generation classification extraction contextual reasoning explanation and reviewer assist use cases * Build retrieval augmented generation pipelines including document ingestion chunking embedding generation metadata tagging vector indexing retrieval tuning and grounded response generation * Develop reusable prompt templates prompt versions context builders response schemas evaluation routines and AI orchestration services * Integrate with enterprise AI services such as Azure OpenAI Azure AI Foundry OpenAI APIs Google Gemini Anthropic Hugging Face or equivalent approved platforms * Implement AI run logging prompt model metadata capture evidence citations output traceability reviewer feedback capture and human in the loop controls * Build AI evaluation routines for answer quality retrieval quality hallucination checks regression testing consistency and groundedness * Collaborate with backend and DevOps teams to containerize AI services deploy them securely monitor usage track costs and troubleshoot production issues * Support responsible AI practices such as prompt injection checks data leakage prevention policy based guardrails and AI output validation * 2-3 years of experience in software engineering AI ML engineering applied ML data science engineering or related roles * Strong hands on Python programming experience and practical exposure to LLM based application development * Experience with RAG vector databases embeddings prompt engineering evaluation frameworks and AI service integration * Experience with frameworks such as LangChain LangGraph LlamaIndex Semantic Kernel AutoGen CrewAI or equivalent tools * Working knowledge of REST APIs microservices SQL structured data concepts Git workflows testing and software engineering practices * Understanding of document extraction semantic search NLP retrieval quality hallucination risk prompt safety and AI evaluation methods * Ability to build production oriented AI components rather than isolated proof of concept demos Additional Responsibilities: -------------------------------- Work Location: Pune, India Availability: Full time

Job Title: Engineer III, Software-Image Processing Company: Thermo Fisher Scientific Job Category: Machine Learning Roles & Responsibilities: Work Schedule First Shift (Days)Environmental Conditions About the product: TheThermoScientific™Metrios™ is an advanced TEM imaging system designed to automate andoptimizeimaging workflows. With theMetrios™ AX, we introduced the world's first commercially available Scanning Transmission Electron Microscope (S/TEM) using machine learning for automated, high\-quality data collection. Exclusively designed for the semiconductor industry, theMetriosseries removes automation barriers, enabling labs to measure critical dimensions of semiconductor devices during development and manufacturing. You will be based in Hyderabad, IN, and report to the Functional Group Lead. In this role, you'll collaborate with developers, product owners, architects, and other stakeholders, uniting multi\-site teams to deliver reliable and secure software solutions. Your responsibilities include: * Design, develop, test, and maintain robust, scalable, and high\-performance software solutions for advanced 4D\-STEM applications. * Develop image\-processing software and libraries to support advanced microscopy and metrology applications. * Develop scientific and computational software using Python, contributing to data acquisition, processing, analysis, and visualization workflows. * Write and maintain high\-quality unit tests, integration tests, and system\-level component tests to ensure software reliability and performance. * Participate in code reviews, promoting software quality, maintainability, and adherence to engineering best practices. * Diagnose, troubleshoot, and resolve software defects, performance bottlenecks, and computational challenges. * Apply scientific computing and numerical methods to microscopy and metrology challenges, leveraging CPU and GPU acceleration to process, analyze, and optimize large\-scale 4D\-STEM data workflows. * Stay current with advancements in scientific computing, high\-performance computing, numerical methods, and software engineering practices. * Learn TEM, 4D\-STEM, and semiconductor metrology domain knowledge and validate software solutions using experimental and simulated datasets. How will you get here? * 5 \+ years of Strong software development experience in Python; experience with C\#, Rust is a plus. * Experience developing scientific and computational software in Windows environments. * Knowledge of numerical methods, linear algebra, and scientific computing concepts used in data analysis and computational applications. * Solid understanding of software engineering principles, including object\-oriented design, testing, code reviews. * Experience with scientific computing libraries such as NumPy, SciPy, CuPy or similar frameworks. * Experience with image processing and analysis techniques, preferably using libraries such as OpenCV, scikit\-image, or similar scientific imaging frameworks. * Experience processing and analyzing large\-scale datasets and developing performant computational workflows. * Knowledge of concurrent and parallel programming, including multithreading, multiprocessing, and asynchronous processing. * Experience leveraging CPU and GPU acceleration technologies, including CUDA or equivalent frameworks, for computationally intensive workloads. * Experience writing and maintaining unit tests, integration tests, and system\-level tests. * Familiarity with TypeScript and modern web technologies is a plus. Work Location: Andhra Pradesh, India Availability: Full time

Job Title: Software Development Engineer II (Machine Learning) | NR-2026-0229 Company: Media.net Job Category: Machine Learning Roles & Responsibilities: Media.net is a leading global ad tech company, building innovative products and solutions for advertisers and publishers. Media.net creates the most transparent and efficient path for ad budgets to become publisher revenue, while delivering meaningful value to advertisers, publishers, app developers, and end users across the open web. We are one of the world’s largest independent contextual advertising businesses, with one of the industry’s most comprehensive advertising technology portfolios. Media.net powers major publishers and ad\-tech platforms across formats, including display, video, mobile, native, search, and local. Our platform manages high\-quality ad supply across 500,000\+ websites and is licensed by the biggest publishers, ad networks, and technology partners worldwide. Beyond our core advertising business, Media.net also operates at scale in performance\-driven consumer acquisition, app development and distribution, and strategic technology investments. These efforts are supported by one of the world’s largest independent software development engines, enabling us to innovate rapidly and build products used across global markets. Role Overview As an SDE II – Machine Learning, you will be a core contributor in designing, building, and scaling ML\-driven systems that power our real\-time ad platforms. You'll be responsible for full\-stack ML development—from data engineering and model development to scalable deployment—working closely with product, data science, and engineering teams. · Flexible work hours, modern office spaces, and supportive teams. Work Location: Bengaluru, Karnataka, India Availability: Full time