59551 Machine Learning Job Vacancies (August 2026)

As of August 2026, Naukri.com lists 59,551 active Machine Learning job vacancies across India, suitable for candidates with 0 to 5 years of professional experience in the Artificial Intelligence and ML ecosystem. The roles span a wide range of work arrangements including fully remote, work-from-home, hybrid, and in-office walk-in positions, catering to diverse candidate preferences. Opportunities are posted by leading tech firms, fast-growing startups, research organizations, and enterprise companies across high-growth industries including e-commerce, fintech, healthcare, automotive, SaaS, and edtech. Open roles cover core ML specializations such as natural language processing, computer vision, predictive analytics, MLOps, reinforcement learning, generative AI development, and model deployment. Job seekers can filter listings by location, salary range, company size, required skills, and experience level to find positions aligned with their career goals. All listings include direct application links, along with access to free resources including resume reviews, ML skill assessments, and interview preparation guides to support candidates through the application process.

• 0 to 5 years of professional experience in Machine Learning, Artificial Intelligence, data science, or a related technical field
• Strong foundational knowledge of core ML concepts including supervised/unsupervised learning, neural networks, model evaluation, and deployment workflows
• Proficiency in programming languages and ML frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or equivalent tools
• Strong analytical, problem-solving, and communication skills to translate business requirements into functional ML solutions
• Ability to adapt to remote, hybrid, or in-office work environments as per the specific role's requirements
• Preferred: Specialized experience in sub-domains such as computer vision, natural language processing, generative AI, or MLOps for niche or senior-level roles