Key Responsibilities<\/strong><\/p>\n\n\n\n

\n
• Translate business problems into data\/ML solutions with clear metrics and success criteria.<\/li>\n\n\n\n
• Explore, clean, and prepare datasets; build features and baselines; run reproducible experiments.<\/li>\n\n\n\n
• Train, evaluate, and optimize supervised, unsupervised, and deep learning models.<\/li>\n\n\n\n
• Build robust data\/ML pipelines for ETL, training, and real-time\/batch inference.<\/li>\n\n\n\n
• Deploy models using MLOps best practices including CI\/CD, model registry, and monitoring.<\/li>\n\n\n\n
• Collaborate with product and engineering teams to integrate models into APIs and applications.<\/li>\n<\/ul>\n\n\n\n

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  \n\n\n\n

  Must-Have Requirements<\/strong><\/p>\n\n\n\n

  \n
  • 2\u20136 years of hands-on experience in ML\/DS\/ML engineering with production deployments.<\/li>\n\n\n\n
  • Strong Python skills with experience in NumPy, Pandas, scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow).<\/li>\n\n\n\n
  • Cloud deployment experience (AWS\/GCP\/Azure), containerization with Docker, and Git-based CI\/CD.<\/li>\n\n\n\n
  • Strong SQL skills and understanding of data modeling.<\/li>\n\n\n\n
  • Ability to write clean, maintainable, and tested code.<\/li>\n<\/ul>\n\n\n\n

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    \n\n\n\n

    Nice-to-Have Skills<\/strong><\/p>\n\n\n\n

    \n
    • Experience with feature stores, workflow orchestration tools (Airflow\/Prefect), and model monitoring.<\/li>\n\n\n\n
    • Knowledge of NLP (transformers), time-series modeling, or recommendation systems.<\/li>\n\n\n\n
    • Familiarity with FastAPI\/Flask, streaming systems (Kafka\/PubSub), or vector databases.<\/li>\n\n\n\n
    • Awareness of data security, privacy, and compliance standards.<\/li>\n<\/ul>\n\n\n\n

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      \n\n\n\n

      Why Work With Us<\/strong><\/p>\n\n\n\n

      \n
      • Impact:<\/strong> Your models will be used by real customers across India.<\/li>\n\n\n\n
      • Growth:<\/strong> Small, fast-moving team with high ownership and mentorship.<\/li>\n\n\n\n
      • Flexibility:<\/strong> Hybrid\/remote-friendly with modern tooling and cloud stack.<\/li>\n<\/ul>\n\n\n\n

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        \n\n\n\n

        Benefits<\/strong><\/p>\n\n\n\n

        \n
        • Competitive salary and performance bonuses.<\/li>\n\n\n\n
        • Health insurance and paid time off.<\/li>\n\n\n\n
        • Learning and development stipend.<\/li>\n\n\n\n
        • Modern hardware and remote working support.<\/li>\n<\/ul>\n\n\n\n

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          \n\n\n\n

          How to Apply<\/strong>
          Email your resume to hr@mhtechin.com<\/a><\/strong><\/p>\n\n\n\n

          <\/p>\n","protected":false},"excerpt":{"rendered":"

          Job Title: Machine Learning EngineerCompany: MHTECHINLocation: Pune, Maharashtra, India (Hybrid\/Remote)Employment Type: Full-timeExperience Required: 2\u20136 yearsSalary Range: \u20b912,00,000 \u2013 \u20b924,00,000 per yearEducation: Bachelor\u2019s in Computer Science, AI, Electrical Engineering, or equivalent experience About MHTECHINMHTECHIN is building practical AI that powers products in fintech, agri-tech, and SME enablement. As a Machine Learning Engineer, you will design, train, […]<\/p>\n","protected":false},"author":1,"template":"","meta":[],"class_list":["post-20921","awsm_job_openings","type-awsm_job_openings","status-publish","hentry","job-category-data-science","job-type-full-time","job-location-pune"],"_links":{"self":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/awsm_job_openings\/20921","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/awsm_job_openings"}],"about":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/types\/awsm_job_openings"}],"author":[{"embeddable":true,"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"wp:attachment":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/media?parent=20921"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}