Back
Metro location, mid-level experience band, and broad platform skillset create high applicant competition.
Skills are platform and cloud-focused and reasonably transferable, but ML-platform specifics limit full portability.
Explicit 3–5 years plus mandatory Dataiku/SageMaker and IaC/CI-CD skills make shortlisting strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own day-to-day operations and support of enterprise AI/ML platforms like Dataiku and Amazon SageMaker, ensuring availability, performance, and security.
Enable AWS AI/ML services including SageMaker, Bedrock, and others for designing, deploying, and governing scalable AI/ML solutions and Generative AI use cases.
Develop and maintain CI/CD pipelines, automation scripts, infrastructure-as-code for AI/ML solutions, and collaborate with cross-functional teams for operational excellence and solution design.
3–5 years of professional experience in platform/cloud/DevOps/AI/ML platform engineering or support.
Hands-on experience with Dataiku and Amazon SageMaker platform operations and AWS AI/ML services (Bedrock, AgentCore, Amazon Q, QuickSight).
Proficiency in CI/CD tools and scripting: Git, Jenkins, Bash, CloudFormation, Terraform.
Work onsite minimum three days per week in India; specified Indian office timings (2:00pm-10:30pm).
Practitioner with proven ability to operate, support, and optimize enterprise AI/ML platforms integrating multiple AWS AI services.
Experienced in building automation, CI/CD pipelines, deployment patterns with strong DevOps and infrastructure-as-code expertise.
Collaborates effectively across data science, engineering, security, and business teams to deliver secure, scalable AI/ML solutions in a hybrid on-prem/cloud enterprise environment.