Databricks + AI ML Ops

Roles and Responsibilities :

• Design, develop, test, deploy and maintain large-scale data pipelines using AWS services such as S3, Lambda, Step Functions.
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
• Develop machine learning models using PySpark and Python libraries like scikit-learn or TensorFlow.
• Troubleshoot issues related to data processing, model deployment, and system performance.

Job Requirements :

• 8-12 years of experience in IT Services & Consulting industry with expertise in ML Engineer role.
• Strong understanding of AWS services including S3, Lambda, Step Functions, REST APIs etc. .
• Proficiency in programming languages such as Python with experience working on projects involving machine learning algorithms (e.g., retrieval augmented generation).
• Experience with containerization using Docker containers.