Machine Learning Engineer – AI

Job Summary:

• 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:

• 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