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AI / ML Platform Engineer Specialist

Veralto Global

Bengaluru, Karnataka, IndiaMID
Hybrid

Job Description

Be part of the team at Veralto Global to design and evolve machine learning infrastructure.

Responsibilities

  • Develop and maintain MLOps platform
  • Collaborate with teams to integrate AI capabilities

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, 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.

Interested in this role?

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