ML Engineer

Roles and Responsibilities :

• Design, develop, test, deploy and maintain large-scale machine learning models using Python and relevant libraries such as TensorFlow or PyTorch.
• Collaborate with cross-functional teams to integrate ML solutions into existing systems and applications.
• Develop data pipelines using AWS/GCP services like S3, Glue, Dataflow etc. to process large datasets.
• Troubleshoot issues related to model performance, data quality, and deployment on Docker containers using Kubernetes.

Job Requirements :

• 8-13 years of experience in Machine Learning Engineering with expertise in Computer Vision.
• Strong proficiency in programming languages such as Python and familiarity with popular libraries like OpenCV.
• Experience working with cloud platforms (AWS/GCP) for building scalable data pipelines.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.