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)
