Top Machine Learning Jobs in India

As an Advanced Data Scientist, you will lead analytics model development, mentor junior scientists, and align projects with business goals.

Design and implement scalable microservices, deploy cloud-native solutions, integrate AI and ML models, and mentor junior engineers in an Agile environment.

As a Sr Advanced Data Scientist, you will lead data science projects, mentor junior scientists, and develop advanced algorithms to meet business objectives.

The Advanced Software Engineer will design scalable microservices, develop cloud-native solutions on Azure, integrate AI/ML models, and ensure high code quality while mentoring. Collaborate in an Agile environment across teams.

The role involves ensuring clients comply with data privacy laws, developing privacy programs, conducting assessments, and training employees while managing client relationships.

Architect, build, and deploy LLM-powered multi-agent AI systems and voice-first agents. Design RAG/memory pipelines, fraud/anomaly detection models, and scalable Azure-native AI services. Mentor engineers, review PRs, and collaborate across distributed teams to deliver secure, testable, production-grade AI solutions.

Lead development and research of advanced AI/ML solutions, fine-tune LLMs, design agentic systems, prototype novel algorithms, optimize training pipelines, ensure ethical AI, publish research, mentor juniors, and integrate enterprise AI into production.

Lead design, build, and productionize ML/GenAI solutions across the stack: data pipelines, models, LLM apps, MLOps/LLMOps, monitoring, and governance. Mentor engineers, partner with product/data/clinical stakeholders, ensure HIPAA-compliant practices, and translate business problems into technical roadmaps.

Design, build, and operate secure cloud-based AI/ML platforms and pipelines. Implement CI/CD (GitHub Actions/Jenkins), deploy ML models (SageMaker/Azure ML), manage platform security, automate operations, and collaborate with partners to integrate generative AI and LLM solutions into production.

Lead applied research and engineering for LLMs, generative and multimodal models; design scalable AIML pipelines, deploy models with MLOps, integrate cloud/tooling, mentor junior staff, and align architectures to business goals.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

The Senior Data Scientist will optimize demand forecasting models, apply machine learning techniques, and collaborate with teams to solve business problems.

The role involves developing AI-driven applications and chatbots using Python, overseeing quality of service, and managing performance metrics.

The Tech Project Manager will define and execute the vision for generative AI products, manage cross-functional teams, and oversee project lifecycles to enhance competitiveness and user experience.

As a Data Scientist, you will enhance data productivity, develop models, collaborate with business stakeholders, and provide insights to improve product usability and reseller performance.

As a PhD Quant Researcher, you will design, model, and deploy pricing and market microstructure models using machine learning techniques, impacting live trading systems.

The AI Engineer builds production-ready ML models and RAG systems for analyzing medical and insurance data while ensuring security and efficiency.

The Generative AI Intern will work on AI technologies, focusing on Python, machine learning fundamentals, LLMs, prompt engineering, and related frameworks.

As a Senior Data Analyst at Okta, you will analyze product data, build dashboards and reports, and communicate insights to stakeholders, leveraging SQL and advanced analytics techniques.

As VP of Software Engineering, you will manage product development, drive innovation, resolve complex issues, and collaborate with stakeholders to align product goals and execution.

The Principal Technical Support Engineer will solve customer issues, improve APM software, provide training, escalate problems, and conduct pre-sales consultations, requiring strong problem-solving and communication skills.

Lead the global HR systems strategy and operations, owning SAP SuccessFactors roadmap, integrations, AI-enabled HR automation, data governance, vendor management, multi-country rollouts, and leading HRIS analysts to drive adoption and efficiency.

Develop and maintain web and mobile applications, build and optimize AI/ML models, prepare and process data, collaborate with product teams to deliver AI-driven features, participate in code reviews, testing, and stay current with AI/Data Science advances.

Lead the development and deployment of AI/ML solutions, managing the entire model lifecycle and ensuring tangible business outcomes across various projects.

Develop machine learning algorithms to analyze brain data, design experiments, build data visualization tools, and assist in AI model development for education.