Tech Lead - AWS SageMaker Job

Job Description

Key Responsibilities :

Data Engineering :

• Data LakeHouse :

o Simplify analytics and AI with unified data management across Amazon S3 data lakes, Amazon Redshift data warehouses, operational databases, and enterprise applications.

o Use Visual ETL jobs and unified notebooks to perform data analysis, preparation, and integration with data sources like Amazon S3, Redshift, and AWS RDS.

o Create and manage SageMaker Pipelines and Workflows to automate the ETL Pipelines, ML model continuous integration and continuous delivery (CI / CD) lifecycle.

o Work within collaborative projects in SageMaker Unified Studio, leveraging the SageMaker Catalog (built on Amazon DataZone) to securely share data and AI artifacts.

o Implement various features in the project like Lineage, Data Quality, Metadata forms, Business Glossaries etc.

AI / ML :

o Build, deploy, execute, and monitor complete data and AI workflows using SageMaker Unified Studio's integrated environment.

o Develop, train, and evaluate ML and generative AI models using SageMaker's purpose-built tools and algorithms.

o Utilize advanced features such as HyperPod for distributed training, JumpStart for pre-trained models, and SageMaker Experiments for tracking model versions.

o Rapidly build and customize generative AI applications within the integrated Amazon Bedrock environment in Unified Studio.

o Implement advanced customization capabilities like Knowledge Bases, Guardrails, Agents, and Flows.

o Implement and maintain security best practices, including fine-grained access controls and data protection, within the SageMaker environment.

o Optimize the performance and cost of ML workloads by right-sizing compute resources and monitoring job metrics.

o Utilize Amazon Q Developer's generative AI-powered assistance for code generation and resolving issues within the notebooks and jobs.

Required Skills

Required Technical / Functional Competencies

Domain / Industry Knowledge :

Requirement Gathering and Analysis :

Product / Technology Knowledge :

Architecture tools and frameworks :

Architecture concepts and principles :

Analytics Solution Design :

Tools & Platform Knowledge :

Required Behavioral Competencies

Accountability :

Collaboration :

Agility :

Customer Focus :

Communication :

Drives Results :

Certifications

Good To Have At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles