GDS Consulting - AI and DATA - MlOps/AI Engineering - Senior

4 - 9 years

20 - 25 Lacs

bengaluru

Posted:11 hours ago| Platform:

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Skills Required

automation github orchestration devops consulting packaging analytics monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Python, API development

Key responsibilities

Design, build, and operate
production grade AI services/APIs
, owning reliability, scalability, and performance SLOs.
Implement
MLOps
best practices (experiment tracking, model packaging, CI/CD for models, automated testing, feature and model registries, telemetry) to reduce time to production.
Drive
DevOps
automation (infrastructure as code, containerization, orchestration) and
secure delivery
with least privilege, secrets management, and policy-as-code.
Lead
deployment
of AI components to
AWS/Azure
(containers, serverless, managed ML platforms) with strong observability and rollback plans.
Collaborate cross functionally to translate product and analytics requirements into we'll designed APIs, contracts, and SLAs.

Must have skills

MLOps
(e.g., MLflow/Kubeflow/SageMaker/Azure ML), CI/CD for ML, model registry, monitoring
DevOps
(Docker, Kubernetes, IaC Terraform/Bicep, GitHub/GitLab Actions/Azure DevOps)
Python
(production code quality, testing, packaging)
Deployment
to
AWS/Azure
(EKS/AKS, ECS/Fargate, Lambda/Functions, API Gateway/App Gateway)
API development
(FastAPI/Flask, OpenAPI/Swagger, authN/Z, rate limiting, versioning)

Good to have

GenAI/Agentic
concepts, vector databases, prompt engineering fundamentals

Qualifications experience

B.Tech/M.Tech/MS in CS/EE or equivalent.
4+ years
in AI Engineering

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