Machine Learning Engineer

Machine Learning Engineer

Key Responsibilities:

• Design, train, and fine-tune machine learning and deep learning models
• Perform model inference, testing, and optimization for production-scale applications
• Deploy ML models using Docker and AWS cloud services
• Work closely with cross-functional teams to translate business needs into ML solutions
• Manage databases (SQL, MongoDB) and build efficient data pipelines
• Monitor deployed models to ensure accuracy, scalability, and reliability

Requirements:

• 2–5 years of experience as an ML Engineer or in a related role
• Strong proficiency in Python and ML/DL libraries (TensorFlow, PyTorch, Scikit-learn)
• Proven experience with model training, inference, and deployment
• Experience with AWS, Docker, and working with SQL/MongoDB databases
• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s degree is a plus)