Role Summary : Own end-to-end ML model development and productionization — from problem framing and model building to deployment, monitoring, and scaling.

Key Responsiblities :

- Design and build ML models (classification, regression, anomaly detection, forecasting, NLP/LLM-based, as applicable) to solve defined business problems

- Build CI/CD pipelines for model training → validation → deployment

- Containerize and serve models (batch + real-time inference)

- Set up monitoring for drift, latency, and data quality

- Collaborate with business/product stakeholders on requirements and data science on model handoff and reproducibility

- Own rollback/versioning strategy and A/B or shadow testing

Tech stack :

- Serving: FastAPI/TorchServe/Triton

- Orchestration: Kubernetes, Docker,



Airflow/Kubeflow

- CI/CD: GitHub Actions/GitLab CI, ArgoCD

- Monitoring: Prometheus/Grafana, Evidently/WhyLabs for drift

- MLOps framework: MLflow, Weights & Biases, or DVC

- Languages: Python (primary)

Pay: Up to ₹2,000,000.00 per year

Perks

- Health insurance

- Provident Fund

Ability to commute/relocate

- Navi Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Application Question(s)

- Are you comfortable with the Contract-to-Hire role?

Experience

- AIML: 1 year (Required)

Work Location: In person

📌 AI/ML Engineer (Navi Mumbai)
🏢 Techraq Info Solutions
📍 Navi Mumbai