Mindblowing Jobs

Senior Machine Learning Platform Engineer

By Admin · Data Science, Analytics & AI

HYDERABAD (IN)ONSITEPOSTED: 9/14/2026
TECHFull-time
HIRING ORGANIZATIONAMGENBiotechnology / Pharmaceuticals
Amgen

ROLE OVERVIEW

Design, build, and scale enterprise-grade ML and generative-AI platform capabilities. Bridge platform engineering, MLOps, and GenAI to establish reusable APIs, automated pipelines, and developer infrastructure across enterprise AI initiatives.

ROLE DEFINITION & RESPONSIBILITIES

  • •Design and build reusable ML and GenAI platform capabilities supporting model development, experimentation, and production operations
  • •Build self-service platform services, APIs, and automation that abstract infrastructure complexity
  • •Develop MLOps capabilities including experiment tracking, model registries, evaluation frameworks, and automated CI/CD deployment
  • •Build model-serving and inference infrastructure for classical ML models and LLMs via REST, gRPC, or event-driven interfaces
  • •Develop GenAI platform capabilities including prompt management, vector search, RAG, tool integration, and agent frameworks
  • •Build and maintain containerized platform services using Docker and Kubernetes with automated scaling and resilience
  • •Implement comprehensive observability, monitoring, tracing, evaluation pipelines, and security/governance controls
  • •Partner with data science, security, and infrastructure teams to define platform standards and technical roadmaps
Reporting Hierarchy: Reports to Director / Engineering Lead of AI Platform Engineering • Interdisciplinary Engineering & Data Science Team

* Role responsibilities and qualifications synthesized based on industry benchmark standards.

QUALIFICATIONS & REQUIREMENTS

REQUIRED QUALIFICATIONS

  • 3–5 years of experience in ML engineering, ML platform engineering, MLOps, or backend/cloud engineering
  • Strong programming skills in Python with solid fundamentals in distributed services and microservices architecture
  • Hands-on experience with Docker, Kubernetes, and container orchestration systems
  • Proven track record with ML platforms (MLflow, Kubeflow, SageMaker, or Databricks) and model serving
  • Understanding of GenAI architecture patterns (LLMs, RAG, vector databases) and frameworks (LangChain, LangGraph, or Semantic Kernel)
  • Experience with at least one major cloud platform (AWS, Azure, GCP), CI/CD, and Git-based workflows

PREFERRED QUALIFICATIONS

  • •Experience building internal developer platforms or multi-tenant ML platforms with resource isolation
  • •Proficiency with Infrastructure as Code (Terraform)
  • •Experience with feature stores, AI gateways, or centralized model-serving architectures
  • •Knowledge of event-driven architectures, message queues, and asynchronous processing
  • •Experience in Java or enterprise-level programming languages

REQUIRED VERIFIED SKILLS

Python
Machine Learning
MLOps
GenAI
Docker
Kubernetes
AWS
Azure
GCP
REST APIs
Microservices
LLMs
RAG
Vector Databases
LangChain

COMPENSATION & REWARDS

Salary: Competitive / Disclosed upon candidate shortlisting
Benefits: Competitive health and wellness benefits; Retirement plans & Provident Fund; Annual performance bonuses; Professional development and tuition reimbursement
Compensation for Senior ML Platform Engineers in Hyderabad aligned with 3-5 years experience reflects top-tier market standards for specialized AI/ML platform and cloud infrastructure talent.

ORGANIZATION CONTEXT & CULTURE

Amgen is one of the world's leading biotechnology companies, dedicated to unlocking the potential of biology for patients suffering from serious illnesses through advanced technology and innovative science.

TEAM SIZE: 10,000+ employees
INDUSTRY: Biotechnology / Pharmaceuticals
Culture: Emphasizes high-impact engineering, scalable platform architecture, security, responsible AI governance, and collaborative developer enablement.

EXPECTED CAREER ROADMAP

Engineers in this role can advance to Lead ML Platform Architect, Staff AI Infrastructure Engineer, or Principal MLOps Engineer leading enterprise AI technology strategy.

APPLICATION ADVISORY

Highlight your hands-on experience in building shared developer abstractions, LLM/RAG pipelines, MLOps infrastructure, and Kubernetes deployment architecture in your application.

READY TO SUBMIT?

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