AI Tech Lead / AI Architect – AWS Cloud Solutions - Trivandrum - Immediate Joiner

10 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

ready to join immediately

CCTC | ECTC | Notice Period | Location Preference

nitin.patil@ust.com

Act fast for immediate attention! ⏳📩



Roles and Responsibilities:

Architecture & Infrastructure Design

  • Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like

    EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch

    .
  • Develop Infrastructure as Code (IaC) using

    Terraform

    , and automate deployments with

    CI/CD pipelines

    .
  • Optimize cost and performance of cloud resources used for AI workloads.

AI Project Leadership

  • Translate business objectives into actionable AI strategies and solutions.
  • Oversee the

    entire AI lifecycle

    —from data ingestion, model training, and evaluation to deployment and monitoring.
  • Drive roadmap planning, delivery timelines, and project success metrics.

Model Development & Deployment

  • Lead selection and development of AI/ML models, particularly for

    NLP, GenAI, and AIOps use cases

    .
  • Implement frameworks for

    bias detection, explainability

    , and

    responsible AI

    .
  • Enhance model performance through tuning and efficient resource utilization.

Security & Compliance

  • Ensure data privacy, security best practices, and compliance with

    IAM policies, encryption standards

    , and regulatory frameworks.
  • Perform regular audits and vulnerability assessments to ensure system integrity.

Team Leadership & Collaboration

  • Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts.
  • Promote cross-functional collaboration with business and technical stakeholders.
  • Conduct technical reviews and ensure delivery of production-grade solutions.

Monitoring & Maintenance

  • Establish robust model

    monitoring

    ,

    ing

    , and

    feedback loops

    to detect drift and maintain model reliability.
  • Ensure ongoing optimization of infrastructure and ML pipelines.

Must-Have Skills:

  • 10+ years of experience in IT with 4+ years in AI/ML leadership roles.
  • Strong hands-on experience in

    AWS services

    : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch.
  • Expertise in

    Python

    for ML development and automation.
  • Solid understanding of

    Terraform, Docker, Git

    , and

    CI/CD pipelines

    .
  • Proven track record in delivering AI/ML projects into

    production environments

    .
  • Deep understanding of

    MLOps, model versioning, monitoring

    , and

    retraining pipelines

    .
  • Experience in implementing

    Responsible AI

    practices – including fairness, explainability, and bias mitigation.
  • Knowledge of

    cloud security best practices

    and IAM role configuration.
  • Excellent leadership, communication, and stakeholder management skills.

Good-to-Have Skills:

  • AWS Certifications

    such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect.
  • Familiarity with

    data privacy laws and frameworks

    (GDPR, HIPAA).
  • Experience with

    AI governance and ethical AI

    frameworks.
  • Expertise in

    cost optimization

    and performance tuning for AI on the cloud.
  • Exposure to

    LangChain

    ,

    LLMs

    ,

    Kubeflow

    , or

    GCP-based AI services

    .


Skills


Enterprise Architecture,Enterprise Architect,Aws,Python

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