AWS AI MLOPs

Please find below the Open demand in UHG currently, please focus on these 2 demands currently.

Please find below the details for new AWS + AI MLOP position, please start working on this requirement and share the market intel for this position by tomorrow EOD.

Position 1:

JC: 155082
Band: B3
Location: Pune, Chennai, Bangalore & Hyderabad.

Max Budget: 25.50 LPA

Please find below the complete JD:

Lead design and optimization of scalable, secure AWS cloud architectures across compute, storage, networking, and security services.
Build and manage AI/ML pipelines leveraging AWS services like Sagemaker, Lambda, ECS/EKS, Bedrock, and DynamoDB.
Drive automation using IaC tools (Terraform/CloudFormation) and CI/CD pipelines for rapid, reliable deployments.
Enable MLOps best practices including model training, evaluation, deployment, and monitoring at scale.
Collaborate with product, data science, and engineering teams to deliver AI driven solutions.
Ensure compliance, cost optimization, observability, and high availability across cloud workloads.
Troubleshoot complex distributed systems and lead performance, reliability, and security improvements

Position 2:

JC: 145666
Band: C1
Location: Pune, Chennai, Bangalore & Hyderabad.

Max Budget: 33 LPA

JD: Release Train Engineer

Description

Act as an Execution lead closely partnering with the Product Manager & IT Delivery Owner to guide one agile release train
Establish program level cadence and drive program level ceremonies (e.g. PI Planning, Product Management Council, Scrum of Scrums, release train retrospectives, HIP Sprint)
Work with other program leaders to drive the definition and refinement of the program backlog
Ensure cross-value stream coordination and collaboration
Maintain metrics that provide visibility to stakeholders on program-level plans, progress, and quality
Facilitate alignment dependencies between the program team and third parties, release managers, or between the team and other Scrum Teams
Work cross functionally to align strategy, methodology and execution
Coordinate delivery
Actively manages the program scope, budget, risks, issues, deliverables, and schedule of individual program tasks, as well as timely reporting of program status
Participates in or leads the program steering committee reviews and gate approvals

Tools/Skills:
Microsoft Office, Planview, CA Agile Central / Rally, SharePoint, Confluence

Must Have:
Assertive: Must be able to ensure Agile/Scrum concepts and principles are adhered to, must be able to be a voice of reason and authority, make the tough calls.
Attitude of empowerment: Must be able to lead a release train and multiple teams to self-organization
Attitude of transparency: Must desire to bring disclosure and transparency to both business and IT and grow to grow trust amongst partners
Collaborative: Ability to partner with others to achieve goals at various levels throughout the organization and lead others to do so by example
Communicative and social: Must be able to communicate well with all levels of the organization from Scrum team members to executives
Conflict resolution: Must be able to facilitate discussion at the release train level and facilitate alternatives or different approaches
Continual improvement: Must continually be growing ones craft learning new tools and techniques to manage oneself and a team
Enthusiastic: Must be impassioned and high-energy
Facilitative: Must be able to lead by example and demonstrate value-add principles to agile release trains
Flexible: Ability to shift to the role or tasks needed for each situational transformation. Ability to "get the job done" regardless of role definition.
Quick learner: Must be able to quickly gain a high-level understanding of the technical and business domains of the scrum teams
Servant Leader: Must be able to garner respect from team and stakeholders and be willing to get their hands dirty to get the job done
Situational Awareness: Must be the first to notice differences and issues as they arise and elevate them to management
System Thinker: Must be able to analyze the entire software development environment

Required AI Skills:
- All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
-Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and velocity.