Job Title: AI/ML Intern Company: WeIntern Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: Roles and Responsibilities * Assist in developing and implementing Machine Learning models. * Work with Python libraries such as NumPy, Pandas, Scikit\-learn, and TensorFlow or PyTorch. * Collect, clean, preprocess, and analyze datasets. * Build and evaluate predictive models and classification algorithms. * Explore AI applications, model optimization, and feature engineering. * Perform data visualization and interpret model results. * Assist in integrating ML models into applications and workflows. * Document project progress, experiments, and technical findings. Work Location: In person Work Location: Pune, India Availability: Full time
Job Title: Senior Engineer- Machine Learning Company: Eaton Job Category: Machine Learning Roles & Responsibilities: What You’ll Do Eaton Corporation’s Center for Intelligent Power has an opening for a Associate Engineer\- Machine Learning Operations. The ideal candidate will be responsible for developing and maintaining the infrastructure and tools required to deploy and maintain machine learning models at scale. This position requires understanding in machine learning and software engineering. The candidate will work closely with other teams to make sure the requested features by the businesses are delivered. About Eaton Eaton is power management company with 2018 sales of $21\.6 billion. We make what matters work. Everywhere you look—from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent, and we’re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters. * Design, develop, deploy, and maintain scalable machine learning platforms, infrastructure, and MLOps solutions in cloud environments. * Architect, develop, and optimize data engineering pipelines, feature engineering workflows, and CI/CD pipelines for machine learning and AI applications. * Build, train, validate, deploy, monitor, and continuously improve machine learning and deep learning models in production. * Lead the operationalization of machine learning solutions by implementing MLOps best practices, model versioning, experiment tracking, monitoring, governance, and automated retraining strategies. * Collaborate closely with Data Scientists, Software Engineers, Product Owners, and Architects to translate business requirements into scalable AI/ML solutions. * Drive adoption of software engineering best practices, reusable frameworks, templates, coding standards, and automation strategies to reduce development cycle time and improve solution reliability. * Troubleshoot model performance, data quality, pipeline reliability, and production issues while ensuring high availability and scalability. * Mentor junior engineers and contribute to technical design reviews, architecture discussions, and team knowledge\-sharing initiatives. * Develop and maintain technical documentation, deployment guides, operational runbooks, and training materials. * Evaluate emerging technologies, AI/ML frameworks, cloud services, and industry best practices, and recommend their adoption where appropriate. Experience developing and maintaining large\-scale data engineering pipelines using Python, Spark, Databricks, Airflow, or similar technologies. Strong understanding of software engineering best practices including object\-oriented design, design patterns, version control, testing strategies, code reviews, and secure development practices. Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: AI Engineer Company: Seco Tools Job Category: Machine Learning Roles & Responsibilities: Reports to: Maria Alexandersson, Manager – AI \& Automation Core Responsibilities: -------------------------- About the role: * Are you passionate about turning AI and machine learning into solutions that make a real difference? As an AI Engineer in our AI Center for Enablement, you will contribute to the design and delivery of AI solutions that address business challenges and create new opportunities across the organization. * You will build impactful models and systems, collaborate with cross\-functional teams and help implement our AI strategy. Working closely with senior engineers and stakeholders, you will help ensure that AI is adopted in a scalable, ethical and effective way. What you will do: * + Contribute to the development and deployment of AI/ML solutions that drive business value. + Collaborate with business stakeholders to understand use cases and support solution design. + Translate business requirements into scalable, production\-ready AI applications, with guidance from senior team members. + Support the evolution of our AI platform, tools and reusable assets to enable consistent delivery. + Apply software engineering best practices such as version control, testing, code quality and modular design. + Work with DevOps/MLOps teams to build reliable and maintainable AI pipelines. + Ensure adherence to AI governance, data privacy and ethical AI standards. + Take part in knowledge sharing and internal capability building around AI/ML. + Stay informed about AI innovation, tools and methods relevant to our practice. Work Location: Pune, India Availability: Full time
Job Title: Data Scientist Senior Consultant II Company: Allstate India Job Category: Machine Learning Roles & Responsibilities: Job Description In this role, you will design and build AI\-driven Insight Studio for the Scholar product, transforming large\-scale customer conversations into actionable, real\-time insights. You will hands\-on build and productionize AI systems, integrating LLMs, RAG pipelines, and AI agents into scalable, reliable applications that directly power business decisions. Key Responsibilities * Translate complex business problems into end\-to\-end AI solutions, leveraging machine learning and Generative AI techniques aligned with product and business goals. * Design, build, and operate production\-grade AI systems for conversational understanding, summarization, classification, and insight generation from large\-scale customer interaction data. * Architect and implement Retrieval\-Augmented Generation (RAG) pipelines, integrating structured and unstructured data sources to deliver context\-aware, grounded, and explainable AI outputs. * Build and optimize vector search and embeddings\-based systems, enabling semantic search, similarity matching, and efficient information retrieval at scale. * Design and implement AI agent workflows, orchestrating multi\-step reasoning, tool usage, and decision\-making using frameworks such as LangChain, LangGraph, or similar. * Apply prompt engineering and LLM orchestration techniques to improve output quality, consistency, latency, and cost efficiency in production environments. * Integrate foundation models via platforms such as AWS Bedrock, including fine\-tuning, evaluation, and deployment strategies tailored to business use cases. * Build and maintain scalable data pipelines and distributed processing systems to support real\-time and batch AI workloads. * Own end\-to\-end lifecycle of AI/ML solutions, including data preparation, model development, evaluation (including LLM evaluation and guardrails), deployment, and continuous improvement. * Implement MLOps and LLMOps practices, including CI/CD pipelines, versioning, monitoring, and automated evaluation for both traditional ML and AI systems. * Monitor and optimize AI systems using observability tools (e.g., Datadog, CloudWatch), ensuring performance, reliability, and cost control in production. * Analyze model outputs, communicate findings, and iterate on solutions to continuously improve business impact and user experience. * Strong ability to monitor, debug, and optimize AI systems in production Shift Time Shift B (India) About Allstate Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI Software Engineer Company: Integers.Ai Job Category: Machine Learning Roles & Responsibilities: Job Description: Senior AI Software Engineer About the Role We are looking for a highly experienced Senior AI Software Engineer to design, develop, and deliver AI\-powered software solutions that accelerate business transformation. The ideal candidate will have strong expertise in AI product development, Python\-based backend engineering, cloud platforms, and modern AI deployment practices. This role requires close collaboration with cross\-functional teams to build scalable, secure, and high\-performing AI\-enabled applications while contributing to engineering excellence in an Agile environment. Key Responsibilities * Design, develop, and maintain AI\-enabled software features and platform capabilities. * Collaborate with product managers, designers, and engineering teams to deliver innovative AI\-powered solutions. * Implement and integrate Generative AI, Machine Learning, and Natural Language Processing (NLP) technologies into existing platforms. * Develop scalable microservices and APIs to support AI applications and platform services. * Build, deploy, and maintain AI models using modern MLOps, LLMOps, and AIOps practices. * Design and manage AI data pipelines using Apache Airflow and Microsoft Fabric Data Factory. * Troubleshoot and resolve issues related to AI models, platform performance, integrations, and data pipelines. * Participate in code reviews and contribute to continuous improvement of software development and AI engineering practices. * Provide technical leadership through mentoring, code reviews, design discussions, and knowledge sharing. * Ensure solutions adhere to cybersecurity, compliance, and engineering quality standards. * Work with DevOps pipelines using Azure DevOps and Docker to support CI/CD and AI deployments. * Stay updated with emerging AI technologies, cloud services, and industry best practices. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: Artificial Intelligence Engineer Company: AMISEQ Job Category: Machine Learning Roles & Responsibilities: Job Summary: We are seeking a highly skilled and motivated AI Engineer for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI \& GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Engineer will preprocess and analyze large datasets, implement machine learning and deep learning algorithms, and integrate AI systems into existing applications. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: Senior Data Scientist Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled Senior Data Scientist specializing in LLM Fine\-Tuning and Clinical AI to build, optimize, and evaluate enterprise\-grade Generative AI solutions. The ideal candidate will have strong expertise in Python, PyTorch, Hugging Face, LoRA/PEFT, and Large Language Models (LLMs). You will play a key role in developing healthcare\-focused AI solutions by fine\-tuning foundation models, implementing robust evaluation frameworks, and ensuring clinically accurate, safe, and reliable AI\-generated outcomes. * Design, develop, and optimize Machine Learning and Deep Learning solutions using Python and PyTorch. * Train, fine\-tune, and evaluate Large Language Models (LLMs) for healthcare and enterprise AI use cases. * Utilize Hugging Face libraries and transformer architectures for model development and deployment. * Implement parameter\-efficient fine\-tuning techniques such as LoRA and PEFT. * Build and optimize Retrieval\-Augmented Generation (RAG) and LLM\-powered applications. * Conduct exploratory data analysis on structured and unstructured clinical datasets. * Develop data preprocessing, feature engineering, and model validation pipelines. * Design evaluation frameworks to assess model accuracy, safety, explainability, and clinical relevance. * Perform model benchmarking, experimentation, and performance analysis. * Track experiments and manage model lifecycle using MLflow or Weights \& Biases. * Collaborate with ML Engineers and domain experts to deploy AI models into production. * Monitor model performance and continuously improve model quality. * Develop scalable AI workflows and support distributed model training environments. * Contribute to AI engineering best practices, coding standards, and reusable frameworks. * Participate in architecture reviews, technical discussions, and knowledge\-sharing initiatives. * Stay updated with emerging trends in Machine Learning, Generative AI, NLP, and LLM technologies. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: AI/ML Engineer Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: * Design, develop, and deploy AI/ML, Generative AI, and LLM\-based applications using Python and modern AI frameworks. * Build Agentic AI solutions using LangChain, AutoGen, CrewAI, and related orchestration frameworks. * Develop Retrieval\-Augmented Generation (RAG) applications leveraging vector databases and advanced retrieval techniques. * Design and implement scalable AI services and APIs using FastAPI, Pydantic, and asynchronous Python. * Build and optimize machine learning models using PyTorch, Scikit\-learn, Pandas, and NumPy. * Integrate AI solutions with Azure AI Services and cloud\-native environments. * Develop prompt engineering strategies to improve LLM performance, accuracy, and user experience. * Collaborate with data scientists, architects, product teams, and business stakeholders to deliver innovative AI solutions. * Implement model monitoring, evaluation, testing, and performance optimization processes. * Utilize GitLab\-based development workflows and contribute to CI/CD implementation for AI applications. * Support deployment and operationalization of AI solutions using Docker, Kubernetes, and MLOps practices. * Stay current with emerging AI technologies, frameworks, and industry best practices. * 0-2 years of experience in software engineering, AI/ML engineering, or data science. * Strong hands\-on expertise in Python, including Pandas, NumPy, PyTorch, and Scikit\-learn. * Proven experience developing and deploying production\-grade AI/ML and Generative AI solutions. * Strong understanding of Large Language Models (LLMs), foundation models, and modern AI architectures. * Hands\-on experience with Agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar technologies. * Experience designing and implementing RAG solutions using vector databases and retrieval techniques. * Proficiency in FastAPI, Pydantic, and asynchronous Python programming. * Hands\-on experience with Azure AI Services, Azure OpenAI, and cloud\-based AI platforms. * Experience integrating AI solutions with enterprise applications and business workflows. * Strong understanding of prompt engineering, model evaluation, and AI performance optimization techniques. * Experience using GitLab for version control and collaborative development. * Familiarity with Docker, Kubernetes, MLOps, and AI deployment best practices. * Strong analytical, troubleshooting, and problem\-solving skills. * Excellent communication and stakeholder management abilities. * Ability to mentor team members and contribute to technical leadership initiatives. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: Business technology Solutions AC- Data Engineer Company: ZS Job Category: Machine Learning Roles & Responsibilities: * Collaborate with ZS internal teams and client teams to shape and implement high quality technology solutions that address critical business problems * Develop a deep understanding of the business problems and effectively translate them into technical designs * Lead modules and workstreams within projects while actively participating in hands on implementation * Work with technical architects to validate the technical design and implementation approach * Apply appropriate development methodologies and best practices to ensure exceptional client and project team experience * Support the project lead in project delivery, including project planning, people management, staffing, and risk mitigation * Manage a diverse team with various skill sets while providing mentorship and coaching to junior members * Lead task planning and distribution among team members for timely completion of projects with high\-quality results * Guide the project deliverables such as business case development, solution vision and design, user requirements, prototypes, technical architecture, test cases, deployment plans and operations strategy Work Location: Pune, Gurugram, India Availability: Full time
Job Title: Senior Machine Learning Data Scientist - Assistant Vice President Company: Citi Job Category: Machine Learning Roles & Responsibilities: Team Description: ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground\-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. Responsibilities: * Hands\-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands\-on approach to ensure AI models are successfully deployed into production environments, meeting high\-quality standards and performance benchmarks. * Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high\-performing and innovative team. * Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. * Research and Development: Participate in research activities to explore and advance state\-of\-the\-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. * Cross\-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Job Family: Applications Development Work Location: Pune Division, Maharashtra, India Availability: Full time
