{"id":14,"date":"2026-10-02T07:11:31","date_gmt":"2026-10-02T07:11:31","guid":{"rendered":"https:\/\/cybotrix.com\/jobs\/ai-ml-jobs\/"},"modified":"2026-10-04T06:11:41","modified_gmt":"2026-10-04T06:11:41","slug":"ai-ml-jobs","status":"publish","type":"page","link":"https:\/\/cybotrix.com\/jobs\/ai-ml-jobs.html","title":{"rendered":"AI & ML Jobs \u2013 Latest Machine Learning & AI Openings"},"content":{"rendered":"\n

Job Category:<\/strong> Artificial Intelligence & Machine Learning
Job Roles:<\/strong> AI Engineer, Machine Learning Engineer, ML Engineer, AI Developer, Applied AI Engineer, Data Scientist
Experience:<\/strong> Freshers to Senior Professionals
Job Locations:<\/strong> Bangalore, Pune, Hyderabad, Chennai, Noida, Mumbai and other locations across India
Employment Type:<\/strong> Full-Time
Work Model:<\/strong> On-site \/ Hybrid \/ Remote, depending on the employer and role<\/p>\n\n\n\n

Job Overview<\/h2>\n\n\n\n

We are hiring for AI and Machine Learning Jobs<\/strong> across different technology teams and industries. Opportunities may include AI Engineer, Machine Learning Engineer, ML Engineer, AI Developer, Applied AI Engineer, Data Scientist, NLP Engineer, and Generative AI<\/strong> roles.<\/p>\n\n\n\n

The work may involve developing machine learning models, building AI-powered applications, working with data, integrating AI services, and deploying models into production environments.<\/p>\n\n\n\n

The required technology stack will vary by role. Candidates may work with Python, machine learning frameworks, cloud platforms, data technologies, APIs, and generative AI tools<\/strong>.<\/p>\n\n\n\n

Key Responsibilities<\/h2>\n\n\n\n
    \n
  • Develop, train, evaluate, and maintain machine learning models.<\/li>\n\n\n\n
  • Build AI-powered applications and software solutions.<\/li>\n\n\n\n
  • Prepare, clean, and analyze structured and unstructured datasets.<\/li>\n\n\n\n
  • Perform feature engineering and model evaluation.<\/li>\n\n\n\n
  • Develop Python-based AI and machine learning solutions.<\/li>\n\n\n\n
  • Integrate machine learning models with applications and APIs.<\/li>\n\n\n\n
  • Work with data scientists, software engineers, product teams, and business stakeholders.<\/li>\n\n\n\n
  • Experiment with different algorithms and approaches to solve business problems.<\/li>\n\n\n\n
  • Monitor model performance and troubleshoot production issues.<\/li>\n\n\n\n
  • Document experiments, models, technical decisions, and implementation details.<\/li>\n\n\n\n
  • Participate in code reviews, testing, and software development activities.<\/li>\n\n\n\n
  • Improve the performance, reliability, and scalability of AI\/ML solutions.<\/li>\n<\/ul>\n\n\n\n

    Machine Learning Skills<\/h2>\n\n\n\n

    Depending on the role, experience may include:<\/p>\n\n\n\n

      \n
    • Supervised Learning<\/li>\n\n\n\n
    • Unsupervised Learning<\/li>\n\n\n\n
    • Classification<\/li>\n\n\n\n
    • Regression<\/li>\n\n\n\n
    • Clustering<\/li>\n\n\n\n
    • Feature Engineering<\/li>\n\n\n\n
    • Model Evaluation<\/li>\n\n\n\n
    • Hyperparameter Tuning<\/li>\n\n\n\n
    • Model Optimization<\/li>\n\n\n\n
    • Statistical and mathematical concepts<\/li>\n<\/ul>\n\n\n\n

      Experience with scikit-learn, XGBoost, TensorFlow, PyTorch, or similar frameworks<\/strong> is useful.<\/p>\n\n\n\n

      AI & Generative AI<\/h2>\n\n\n\n

      For relevant positions, experience with:<\/p>\n\n\n\n

        \n
      • Natural Language Processing<\/li>\n\n\n\n
      • Computer Vision<\/li>\n\n\n\n
      • Deep Learning<\/li>\n\n\n\n
      • Large Language Models<\/li>\n\n\n\n
      • Generative AI<\/li>\n\n\n\n
      • Prompt Engineering<\/li>\n\n\n\n
      • Embeddings<\/li>\n\n\n\n
      • Vector Databases<\/li>\n\n\n\n
      • Retrieval-Augmented Generation (RAG)<\/li>\n\n\n\n
      • AI APIs<\/li>\n\n\n\n
      • AI-powered application development<\/li>\n<\/ul>\n\n\n\n

        Candidates are not expected to have experience with every technology. Requirements will depend on the individual position.<\/p>\n\n\n\n

        Programming & Data Skills<\/h2>\n\n\n\n

        Programming<\/h3>\n\n\n\n
          \n
        • Python<\/li>\n\n\n\n
        • Object-oriented programming<\/li>\n\n\n\n
        • Data structures and algorithms<\/li>\n\n\n\n
        • REST APIs<\/li>\n\n\n\n
        • Git<\/li>\n<\/ul>\n\n\n\n

          Knowledge of Java, C++, or other programming languages can be useful for certain roles.<\/p>\n\n\n\n

          Data<\/h3>\n\n\n\n
            \n
          • SQL<\/li>\n\n\n\n
          • Pandas<\/li>\n\n\n\n
          • NumPy<\/li>\n\n\n\n
          • Data preprocessing<\/li>\n\n\n\n
          • Data analysis<\/li>\n\n\n\n
          • Data pipelines<\/li>\n\n\n\n
          • Structured and unstructured data<\/li>\n<\/ul>\n\n\n\n

            Experience with Spark or distributed data processing is an advantage for certain positions.<\/p>\n\n\n\n

            Cloud & MLOps<\/h2>\n\n\n\n

            Experience with one or more:<\/p>\n\n\n\n

              \n
            • AWS<\/li>\n\n\n\n
            • Microsoft Azure<\/li>\n\n\n\n
            • Google Cloud<\/li>\n\n\n\n
            • Docker<\/li>\n\n\n\n
            • Kubernetes<\/li>\n\n\n\n
            • CI\/CD<\/li>\n\n\n\n
            • MLflow<\/li>\n\n\n\n
            • Model deployment<\/li>\n\n\n\n
            • Model monitoring<\/li>\n\n\n\n
            • Cloud-based machine learning services<\/li>\n<\/ul>\n\n\n\n

              Cloud and MLOps requirements may vary by role.<\/p>\n\n\n\n

              Experience Levels<\/h2>\n\n\n\n

              AI\/ML Fresher & Entry-Level Roles<\/h3>\n\n\n\n

              Candidates may have:<\/p>\n\n\n\n

                \n
              • Degree or relevant training in Computer Science, AI, Machine Learning, Data Science, Mathematics, Engineering, or a related field.<\/li>\n\n\n\n
              • Strong Python fundamentals.<\/li>\n\n\n\n
              • Understanding of machine learning concepts.<\/li>\n\n\n\n
              • Academic, internship, or personal AI\/ML projects.<\/li>\n\n\n\n
              • Basic knowledge of SQL and ML libraries.<\/li>\n\n\n\n
              • Familiarity with Git and software development practices.<\/li>\n<\/ul>\n\n\n\n

                Mid-Level AI\/ML Roles<\/h3>\n\n\n\n

                Candidates may be expected to have:<\/p>\n\n\n\n

                  \n
                • Professional experience developing AI or machine learning solutions.<\/li>\n\n\n\n
                • Hands-on Python and ML framework experience.<\/li>\n\n\n\n
                • Experience preparing data and evaluating models.<\/li>\n\n\n\n
                • Exposure to deploying models or AI applications.<\/li>\n\n\n\n
                • Understanding of software engineering and testing practices.<\/li>\n\n\n\n
                • Ability to independently work on AI\/ML development tasks.<\/li>\n<\/ul>\n\n\n\n

                  Senior AI\/ML Roles<\/h3>\n\n\n\n

                  Candidates may be expected to have:<\/p>\n\n\n\n

                    \n
                  • Strong professional experience delivering AI\/ML solutions.<\/li>\n\n\n\n
                  • Experience moving models from development to production.<\/li>\n\n\n\n
                  • Strong understanding of ML system design and model performance.<\/li>\n\n\n\n
                  • Experience with cloud platforms or MLOps.<\/li>\n\n\n\n
                  • Ability to contribute to technical architecture and engineering decisions.<\/li>\n\n\n\n
                  • Experience mentoring developers or reviewing technical work is an advantage.<\/li>\n<\/ul>\n\n\n\n

                    Preferred Qualifications<\/h2>\n\n\n\n
                      \n
                    • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, Engineering, Mathematics, or a related field.<\/li>\n\n\n\n
                    • Professional experience with AI\/ML development.<\/li>\n\n\n\n
                    • Strong analytical and problem-solving skills.<\/li>\n\n\n\n
                    • Good understanding of software development practices.<\/li>\n\n\n\n
                    • Ability to work with cross-functional teams.<\/li>\n\n\n\n
                    • Good communication and technical documentation skills.<\/li>\n<\/ul>\n\n\n\n

                      Job Locations<\/h2>\n\n\n\n

                      Bangalore | Pune | Hyderabad | Chennai | Noida | Mumbai | Other Locations Across India<\/strong><\/p>\n\n\n\n

                      The exact location, salary, experience requirements, work model, and technology stack will depend on the individual job opening.<\/p>\n\n\n\n

                      How to Apply<\/h2>\n\n\n\n

                      Candidates looking for AI & ML Jobs<\/strong> can apply with an updated resume highlighting their experience in Python, machine learning, artificial intelligence, data science, cloud platforms, Generative AI, or related technologies.<\/p>\n\n\n\n

                      Shortlisted candidates may be contacted for technical assessments and further interview rounds.<\/p>\n","protected":false},"excerpt":{"rendered":"

                      Job Category: Artificial Intelligence & Machine LearningJob Roles: AI Engineer, Machine Learning Engineer, ML Engineer, AI Developer, Applied AI Engineer, Data ScientistExperience: Freshers to Senior ProfessionalsJob Locations: Bangalore, Pune, Hyderabad, Chennai, Noida,\u2026<\/p>\n","protected":false},"author":1,"featured_media":346,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[189,1],"class_list":["post-14","page","type-page","status-publish","has-post-thumbnail","hentry","category-ai-machine-learning-jobs","category-it-jobs"],"yoast_head":"\nAI & ML Jobs \u2013 Latest Machine Learning & AI Openings<\/title>\n<meta name=\"description\" content=\"Browse AI & ML jobs in machine learning, deep learning, NLP and computer vision. 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