Role : AIML Engineer
Location : Madurai / Chennai
Language : Python
DBs : SQL
Core Libraries :
Time Series & Forecasting : pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet
SOTA ML : ML Models, Boosting & Ensemble models etc.
Explainability : Shap / Lime
Required skills :
- Deep Learning : PyTorch, PyTorch Forecasting,
- Data Processing : Pandas, NumPy, Polars (optional), PySpark
- Hyperparameter Tuning : Optuna, Amazon SageMaker Automatic Model Tuning
- Deployment & MLOps : Batch & Realtime with API endpoints, MLFlow
- Serving : TorchServe, Sagemaker endpoints / batch
- Containerization : Docker
- Orchestration & Pipelines : AWS Step Functions, AWS SageMaker Pipelines
AWS Services :
SageMaker (Training, Inference, Tuning)S3 (Data Storage)CloudWatch (Monitoring)Lambda (Trigger-based Inference)ECR, ECS or Fargate (Container Hosting)Skills Required
Numpy, Pytorch, Docker, Data Processing, Python, Tuning, Sql, Deep Learning, Pandas, MLops, ECR, ECS