Join our applied-ML team to help turn data into product features—recommendation engines, predictive scores, and intelligent dashboards that ship to real users. You’ll prototype quickly, validate with metrics, and productionise models alongside senior ML engineers. Day-to-Day Responsibilities Clean, explore, and validate datasets (Pandas, NumPy, SQL) Build and evaluate ML/DL models (scikit-learn, TensorFlow / PyTorch) Develop reproducible pipelines using notebooks → scripts → Airflow / Kubeflow Participate in feature engineering, hyper-parameter tuning, and model-selection experiments Package and expose models as REST/gRPC endpoints; monitor drift & accuracy in prod Share insights with stakeholders through visualisations and concise reports Must-Have Skills 1–2 years building ML models in Python Solid understanding of supervised learning workflows (train/validate/test, cross-validation, metrics) Practical experience with at least one deep-learning framework (TensorFlow or PyTorch) Strong data-wrangling skills (Pandas, SQL) and basic statistics (A/B testing, hypothesis testing) Version-control discipline (Git) and comfort with Jupyter-based experimentation Good-to-Have Familiarity with MLOps tooling (MLflow, Weights & Biases, Sagemaker) Exposure to cloud data platforms (BigQuery, Snowflake, Redshift) Knowledge of NLP or CV libraries (spaCy, Hugging Face Transformers, OpenCV) Experience containerising ML services with Docker and orchestrating with Kubernetes Basic understanding of data-privacy and responsible-AI principles Job Types: Full-time, Permanent Pay: From ₹19,100.00 per month Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Fixed shift Monday to Friday Experience: Junior Machine-Learning Engineer: 1 year (Preferred) Work Location: In person

We’re looking for a hands-on Python developer who enjoys turning product ideas into production-ready web services. You’ll own features end-to-end—from Django models to asynchronous tasks in Celery—and make sure they remain fast, secure, and observable in production. Day-to-Day Responsibilities Design, build, and maintain REST APIs in Django or Django REST Framework Develop background jobs & queues with Celery, communicating via Redis or RabbitMQ Write unit/integration tests and participate in code reviews Diagnose performance issues, profile query bottlenecks, and tune caching layers Containerise apps (Docker) and collaborate with DevOps on CI/CD pipelines Work closely with product managers and designers to ship iterative, user-centric features Must-Have Skills 1–2 years of professional Python development Solid grasp of Django conventions (ORM, auth, middleware, signals) Experience building and monitoring Celery workers Working knowledge of Redis (caching, message brokering, key-structures) Familiarity with Git workflows, unit testing (pytest), and RESTful API design Comfortable with Linux command line and Docker basics Good-to-Have Exposure to async frameworks (FastAPI, aiohttp) Basic front-end chops (React or Vue) for full-stack collaboration Understanding of PostgreSQL optimisation and SQL indexing Experience instrumenting apps with Prometheus / Grafana or similar APM AWS/GCP deployment know-how (ECS, EKS, Cloud Run, RDS) Job Types: Full-time, Permanent Pay: From ₹19,100.00 per month Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Fixed shift Monday to Friday Experience: Python Developer: 1 year (Preferred) Work Location: In person