TopGenAIJobs

TopGenAIJobs

A Gen AI & Agentic AI Jobs Platform to discover high-quality Gen AI and Agentic AI opportunities from top companies worldwide.

topgenaijobs.com

Quick Links

  • Home
  • Browse Jobs
  • Browse by Category
  • Companies
  • Post a Job
  • Career Resources
  • About Us

Resources

  • Blog
  • Career Guide
  • Resume Tips
  • Interview Prep
  • Salary Guide
  • Skill Demand Index

Top Gen AI Roles

  • Gen AI Engineer Jobs
  • Agentic AI Engineer Jobs
  • Prompt Engineer Jobs
  • LLM Engineer Jobs
  • RAG Engineer Jobs
  • MLOps Engineer Jobs
  • Remote AI Jobs
  • Entry Level AI Jobs
  • Senior AI Jobs

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
  • Contact

© 2026 TopGenAIJobs (Gen AI & Agentic AI Jobs Platform). All rights reserved.

Made with ❤ by TopGenAIJobs Team

    Home/Jobs/Senior Machine Learning Engineer

    Senior Machine Learning Engineer

    Amgen

    United States
    2+ years
    12 days ago
    ₹67–101 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    agentic workflows
    Python
    AWS
    Machine Learning
    AI engineering
    software engineering
    cloud engineering
    Data Engineering
    data pipelines
    APIs
    cloud-native services
    containers
    CI/CD

    Description

    Join Amgen's mission to serve patients living with serious illnesses as a Senior Machine Learning Engineer. Amgen is a biotech company that pioneers the world of biotech in the fight against tough diseases. The AI & Data Innovation Lab is seeking a Senior Machine Learning Engineer to build high-impact AI proofs-of-concept.

    Company: Amgen

    Role: Senior Machine Learning Engineer

    Location: United States - Remote

    Experience:

    • Master's degree and 2 years of relevant experience
    • Bachelor's degree and 4 years of relevant experience
    • Associate's degree and 8 years of relevant experience
    • High school diploma / GED and 10 years of relevant experience

    Key Skills:

    • Machine learning engineering
    • AI engineering
    • Software engineering
    • Data engineering
    • Cloud engineering
    • LLMs
    • Retrieval-augmented generation
    • Agentic workflows
    • Data pipelines
    • APIs
    • Cloud-native services
    • Enterprise platforms
    • Python
    • AWS Cloud
    • CI/CD
    • Observability
    • Secure development practices

    Qualification:

    • Doctorate degree
    • Master's degree
    • Bachelor's degree
    • Associate's degree
    • High school diploma / GED

    Role Focus:

    • Build scalable AI proof-of-concepts with a clear path to production
    • Partner with product managers and business stakeholders to translate ambiguous business needs into practical AI solutions
    • Design and implement modern AI systems
    • Rapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact
    • Create reusable technical assets such as reference architectures, reusable components, documentation, decision records, and handoff materials

    Nice to have:

    • 4-6 years of relevant experience in AI engineering, machine learning engineering, software engineering, data engineering, cloud engineering, or related technical roles
    • Demonstrated experience building full-stack AI-powered applications
    • Strong understanding of modern AI application architecture
    • Experience defining and applying evaluation methods for AI solutions
    • Ability to translate ambiguous business problems into practical technical approaches
    • Experience with AWS Cloud, data pipelines, integration architecture, containers, CI/CD, observability, and secure development practices
    • Demonstrated ability to responsibly use AI tools to improve engineering productivity

    Other:

    • Competitive salary range: 156,190.05USD - 211,315.95 USD
    • Comprehensive employee benefits package
    • Retirement and Savings Plan with generous company contributions
    • Group medical, dental and vision coverage
    • Life and disability insurance
    • Flexible spending accounts
    • Discretionary annual bonus program
    • Stock-based long-term incentives
    • Award-winning time-off plans
    • Flexible work models

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    More LLM jobs

    Senior AI Engineer

    Entropik

    Chennai

    Today

    Software Engineer - Gen AI Developer

    CGI

    Bengaluru

    Today

    AI Engineer

    Cornerstone

    Hyderabad

    Today

    AI/ML Architect

    Ascendion

    Bengaluru

    Today

    GenAI & AI Ops Engineer

    Virtusa

    Pune

    Today

    Generative AI Engineer

    GlobalLogic

    Gurugram

    Today