Machine Learning Engineer

Machine Learning Engineer

Key Responsibilities:

• Design and implement machine learning models for real-world applications
  
• Build and maintain ML pipelines for training, validation, deployment, and monitoring
  
• Work with large datasets and ensure data quality and consistency
  
• Deploy models into production using APIs, containers, and cloud services
  
• Monitor model performance and implement retraining strategies when needed
  
• Collaborate with cross-functional teams to translate business needs into ML solutions
  

Key Requirements:

• Strong programming skills in

  Python

  and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
• Experience deploying ML models using

  Flask/FastAPI, Docker

  , and cloud platforms (e.g., AWS, GCP, Azure)
• Familiarity with

  data processing tools

  (e.g., Pandas, NumPy), and

  ML pipeline tools

  (e.g., Airflow, MLflow)
• Solid understanding of machine learning concepts and model evaluation techniques
  
• Experience with version control tools (e.g., Git) and basic CI/CD practices