4+ Years
Coimbatore
Yes
Full Time
Python & Backend Engineering
Build clean, scalable Python 3.x applications
Develop FastAPI services for ML inference and internal APIs
Write production-ready code with proper logging, monitoring, and error handling
Data & Pipelines
Work with large datasets using:
Azure Data Explorer (ADX / Kusto)
Azure Blob Storage
Parquet / Arrow formats
Design and maintain pipelines from SQL / ADX → Parquet → ML features
Optimize SQL / KQL queries for performance and scale
Applied Machine Learning
Build and deploy ML models on tabular and time-series data
Use scikit-learn (RandomForest / tree-based models preferred)
Apply best practices:
time-aware validation
data leakage prevention
offline/online feature parity
Track experiments and models using MLflow
Nice to Have
Cloud platforms:
Azure
Oracle Cloud Infrastructure (OCI)
AWS or GCP
Data platforms & tools:
Azure Data Explorer (ADX / KQL)
Azure Blob Storage
LightGBM / CatBoost
Distributed data or training (Spark, Dask, Ray)
Redis caching
Airflow / Prefect
LLM integration (RAG, embeddings, prompt workflows)
4+ years of strong Python experience
pandas, NumPy, and data processing at scale
scikit-learn (tree-based models preferred)
FastAPI and Pydantic
MLflow (experiment tracking / model registry)
Strong SQL fundamentals (joins, optimization concepts)
Hands-on experience with Parquet datasets
Understanding of time-series ML best practices
Immediate to 15 days
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