AWS AI + MLOPs (Bengaluru)

AWS AI + MLOPs (Bengaluru)

07 Nov
|
TalentOla
|
Bengaluru

07 Nov

TalentOla

Bengaluru

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 current 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.

📌 AWS AI + MLOPs (Bengaluru)
🏢 TalentOla
📍 Bengaluru

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