Tech Lead - AWS SageMaker Job

Job Description :

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hireAWS SageMaker Professionals in the following areas :

Experience

8+ Years

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

Skills Required

Tensorflow, Sql, AWS Glue, Pyspark, Aws Rds, MLops, Pytorch, Amazon S3, Python, Amazon Redshift, amazon emr