Machine Learning Jobs (59,863 Open Roles) - Naukri.com

Naukri.com’s machine learning job search page aggregates 59,863 active, verified job openings from leading startups, tech giants, and multinational corporations across India and select global markets. Roles span all experience levels, from entry-level ML engineer positions for fresh graduates to senior ML scientist, ML lead, and director-level roles for seasoned professionals. Core job categories include natural language processing (NLP), computer vision, reinforcement learning, MLOps, predictive analytics, and AI research, with opportunities across industries including e-commerce, healthcare, finance, automotive, and edtech.

The listing includes diverse work arrangements: fully remote work-from-home roles, hybrid in-office positions, and walk-in interview opportunities across major Indian metropolitan and tier-2 cities. Employment types range from full-time permanent roles to part-time, contract, and internship positions, catering to students, working professionals, and freelancers. All listings are updated daily, with filters to narrow results by required skills (Python, TensorFlow, PyTorch, SQL, etc.), years of experience, salary range, and location to help candidates find roles aligned with their career goals.

• Educational qualification in Computer Science, Data Science, Statistics, Mathematics, or a related technical discipline (bachelor’s minimum, master’s/PhD preferred for senior roles)
• Strong foundational knowledge of machine learning algorithms, deep learning architectures, and model evaluation metrics
• Proficiency in programming languages including Python, R, or Java, and experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras
• Hands-on experience with data preprocessing, feature engineering, and working with large, unstructured datasets
• For mid-senior roles: 2+ years of professional experience building, training, and deploying production-grade ML models
• Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and MLOps practices is a plus for senior positions
• Strong problem-solving skills and ability to collaborate with cross-functional teams including data engineers, product managers, and business stakeholders