Machine Learning Engineer

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About MHTECHIN

Key Responsibilities

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

Must-Have Requirements

• 2–6 years of hands-on experience in ML/DS/ML engineering with production deployments.
• Strong Python skills with experience in NumPy, Pandas, scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow).
• Cloud deployment experience (AWS/GCP/Azure), containerization with Docker, and Git-based CI/CD.
• Strong SQL skills and understanding of data modeling.
• Ability to write clean, maintainable, and tested code.
  

Nice-to-Have Skills

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

Why Work With Us

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

Benefits

• Competitive salary and performance bonuses.
• Health insurance and paid time off.
• Learning and development stipend.
• Modern hardware and remote working support.
  

How To Apply

hr@mhtechin.com

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