Machine Learning Engineer

Job Title: Machine Learning Engineer
Company: MHTECHIN
Location: Pune, Maharashtra, India (Hybrid/Remote)
Employment Type: Full-time
Experience Required: 2–6 years
Salary Range: ₹12,00,000 – ₹24,00,000 per year
Education: Bachelor’s in Computer Science, AI, Electrical Engineering, or equivalent experience

About MHTECHIN

MHTECHIN is building practical AI that powers products in fintech, agri-tech, and SME enablement. As a Machine Learning Engineer, you will design, train, and deploy models that go directly into production—owning the full lifecycle from experimentation to monitoring.

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.