Job Summary:
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Job Title: ML Engineer – TechMango
Location: TechMango, Madurai
Experience: 4+ Years
Employment Type: Full-Time
Role Overview We are seeking an experienced Machine Learning Engineer with strong proficiency in Python, time series forecasting, MLOps, and deployment using AWS services. This role involves building scalable machine learning pipelines, optimizing models, and deploying them in production environments.
Key Responsibilities:
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Core Technical Skills
Languages & Databases Programming Language: Python Databases: SQL
Core Libraries & Tools Time Series & Forecasting: pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet
Machine Learning Models: State-of-the-art ML models, including boosting and ensemble methods
Model Explainability: SHAP, LIME
Deep Learning & Data Processing Frameworks: PyTorch, PyTorch Forecasting
Libraries: Pandas, NumPy, PySpark, Polars (optional)
Hyperparameter Tuning Tools: Optuna, Amazon SageMaker Automatic Model Tuning
Deployment & MLOps Model Deployment: Batch & real-time with API endpoints
Experiment Tracking: MLFlow Model Serving: TorchServe, SageMaker Endpoints / Batch Containerization & Pipelines
Containerization: Docker Orchestration: AWS Step Functions, SageMaker Pipelines AWS Cloud Stack SageMaker (Training, Inference, Tuning) S3 (Data Storage) CloudWatch (Monitoring) Lambda (Trigger-based inference) ECR / ECS / Fargate (Container Hosting)
Candidate Requirements
Strong problem-solving and analytical mindset Hands-on experience with end-to-end ML project lifecycle
Familiarity with MLOps workflows in production environments
Excellent communication and documentation skills
Comfortable working in agile, cross-functional teams