Top Machine Learning Jobs in India

Lead development and production deployment of AI/ML models focused on personalization, recommendations, segmentation, and predictive analytics. Collaborate with data engineering and development teams to ensure data readiness, integrate models into production (real-time systems like Kafka), apply AIOps to monitor performance, and mentor an AI/ML team.

Build and deploy BERT-based NER for document processing: ingest PDFs, perform layout analysis, develop human-in-the-loop workflows, optimize data pipelines, train and deploy models, and integrate with document processing services.

Design, fine-tune, and productionize LLM-based conversational and retrieval systems. Build scalable data pipelines and indexing, apply prompt engineering and few-shot learning, design APIs, run A/B tests and KPI monitoring, collaborate with engineering teams, and ensure data privacy, ethical AI, and secure, maintainable deployments.

Design, implement, evaluate, deploy, and monitor AI/ML and deep learning solutions. Preprocess large datasets, optimize models, deploy to cloud (AWS/Azure/GCP), and document results while collaborating with engineers and stakeholders.

Build and scale production-grade ML frameworks and decision systems for lending; design ML infrastructure, manage data and model lifecycles, enable multi-tenant analytics and agentic AI capabilities, monitor production performance, and document and propagate best practices.

Design and implement ML and GenAI solutions including anomaly detection, NLP chatbots, real-time streaming analytics, Lambda event-driven workflows, Step Functions orchestration, REST API integrations, and integrations with ticketing and observability systems.

Design, develop, and productionize machine learning and deep learning models, build scalable data and embedding pipelines, implement RAG/LLM-based applications using LangChain/LlamaIndex, integrate models as APIs, and optimize model performance and scalability for product integration.

Develop ML solutions for decision-making using advanced modeling techniques. Collaborate with teams, design evaluations, and communicate results effectively. Strong coding skills and familiarity with ML tools required.

The role involves leveraging AI and ML technologies to provide performance-based, industry-focused services, reflecting shared knowledge of industries.

KPMG seeks a Senior professional in AI/ML to leverage global expertise in technology-enabled services, providing performance-based solutions to both national and international clients.

Manage and deploy AI models, focusing on Generative AI solutions. Responsibilities include model training, cloud integration, and optimization for business applications.

KPMG India seeks a Senior AI/ML professional to provide technology-enabled services across various sectors, leveraging their expertise in AI and ML.

The role involves advanced work in AI and machine learning, focusing on data science responsibilities within KPMG, catering to various sectors.

The AI Engineer will design, develop, and deploy AI models and solutions for business problems, with responsibilities including model training, integration, and leveraging Generative AI applications.

Lead design, development, and deployment of production-grade ML models, AI agents, and serverless data pipelines on AWS. Architect ML workflows, MLOps/CI-CD, data ingestion and model-serving infrastructure, integrate external systems, mentor engineers, and translate business needs into scalable AI solutions.

The Senior Data Scientist will lead ML system design and deployment, mentor junior members, and integrate AI models into business applications.

Design and deploy AI solutions for pharmaceutical clients, collaborating with teams to develop tailored AI-driven innovations and conduct technical reviews.

As a Machine Learning Engineer Intern, you will assist in developing computer vision algorithms for item authentication and fingerprinting, collaborating on model deployment, and contributing to code quality and documentation.

Lead the design and implementation of AI/ML models, focusing on NLP, Generative AI, and MLOps while mentoring junior engineers.

Lead the development and implementation of AI solutions, focusing on NLP and Generative AI, while mentoring a team of engineers and collaborating with cross-functional teams.

Lead the design and deployment of advanced machine learning models, mentor junior staff, and drive innovation in AI technology at Ema.

Design, build, and operate high-throughput, low-latency backend services and AI/ML pipelines on an event-driven platform. Own Go services, WebSocket backends, RAG/embedding/model-serving components, and connectors to CCaaS/CRM/telephony. Work in 1-week sprints, deliver production-grade integrations or AI features, and meet strict latency and delivery commitments.

Lead development and deployment of ML-based search relevance models and pipelines. Improve query understanding, ranking, retrieval, and evaluation frameworks. Collaborate cross-functionally to productize search improvements and enable large-scale, robust search experiences.

Design and deliver ML solution architectures in healthcare. Lead model development, deployment and operationalization with cross-functional teams, communicate insights to clients, mentor senior staff, drive technical discussions, and identify sales opportunities.

Lead and conduct advanced AI research (Generative, Agentic, cognitive architectures, LLMs), develop prototypes, transition research to production, publish in top venues, mentor junior researchers, and ensure responsible AI practices.