Machine Learning Engineer

• Design and implement cloud solutions and setup MLOps on cloud (GCP).
• Implement and track best practices for model development and deployment life cycle.
• Data science models testing, validation and automation of test cases.
• Collaborate with a team of data scientists, data engineers and solution architects.

Requirements

• 2-4 years of industry experience with 1+ years of hands-on AI or ML system development experience.
• Highly skilled in python with a good understanding of dockers and containers.
• Experience in model deployment, model monitoring, and model refresh experience in any orchestration tool like MLflow and Kubeflow is expected.
• Expertise in design and development of ML-based solutions.
• A decent understanding of data science techniques.
• Decent experience in developing deep learning models using frameworks like Tensorflow, Keras, Caffe and PyTorch.
• Good experience working with data pipelines and ETL/ELT.
• Comfortable in conversational English.