Machine Learning Engineer

We are looking for a skilled

Machine Learning Engineer

with expertise in Python and hands-on experience in building, training, and deploying machine learning and deep learning models. The ideal candidate will have prior experience taking models from experimentation to production, along with knowledge of modern ML / DL frameworks and cloud environments.

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)