AI / ML Platform Engineer Specialist
Hybrid · Bengaluru, Karnataka, India
Job Summary
AI / ML Platform Engineer Specialist to design, build, and evolve a next-generation MLOps platform primarily on AWS, with multi-cloud adaptability. Responsible for enabling scalable, reliable, and automated AI development; design and operation of core ML infrastructure (feature stores, model registries, CI/CD pipelines, data pipelines); supporting training, fine-tuning, and deployment; driving architecture decisions across the ML stack; integrating LLMs and generative AI capabilities; ensuring scalability, reliability, and security through IaC and observability practices; evaluating emerging tools (e.g., LangChain, Ray, MLflow, Kubeflow) to improve developer productivity and operational excellence; collaboration with data science, AI, and product engineering teams.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
- 4+ years of experience in ML/AI platform or infrastructure engineering
- Strong experience with AWS cloud services (SageMaker, ECS/EKS, S3, CloudFormation/Terraform, Step Functions, Lambda)
- Expertise in MLOps frameworks and tools (MLflow, Kubeflow, Vertex AI, Azure ML, or equivalent)
- Solid software engineering background with proficiency in Python, containerization (Docker), and Kubernetes orchestration
- Proven ability to design and operate scalable data and ML infrastructure with a focus on automation, observability, and governance
- Familiarity with vector databases (FAISS, Pinecone, Weaviate) and LLM infrastructure (RAG, prompt orchestration, model serving)
- Understanding of security, access control, and compliance in AI/ML environments
- Experience with IaC and DevOps automation (Terraform, CDK, GitHub Actions, Argo)
- Background in platform enablement, building internal tools or SDKs for ML practitioners
- Contributions to open-source or internal platform frameworks related to AI/ML
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