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

Advantages:

- 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: 6 years (Required)

Work Location: In person

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