AI / ML Platform Engineer Specialist

Veralto Global

Bengaluru, Karnataka, IndiaMID

HybridAIMLOps

Job Description

We are looking for an AI / ML Platform Engineer to design, build, and evolve our next-generation machine learning and generative AI infrastructure.

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, preferably in enterprise or SaaS environments.
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 implementing CT/CD (Continuous Training and Deployment) pipelines and feature stores.
Familiarity with multi-cloud MLOps or hybrid environments.
Exposure to LLM and agentic frameworks (LangChain, LlamaIndex, Semantic Kernel).
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.
Strong communication skills and ability to influence technical decisions across teams.
A service-oriented mindset — enabling others to move faster and build reliably.
Passion for developer experience, system reliability, and scalable design.
Curiosity to continuously learn and integrate new MLOps and AI ecosystem tools.