Resume and JobRESUME AND JOB
Amgen logo

Machine Learning Engineer

Amgen

Machine Learning Engineer

Amgen logo

Amgen

full-time

Posted: November 12, 2025

Number of Vacancies: 1

Job Description

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

What you will do

  • Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
  • Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
  • Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
  • Collaborate with the design and product teams to understand user needs and translate them into technical requirements
  • Write clean, efficient, and well-tested code
  • Participate in code reviews and provide constructive feedback
  • Maintain system uptime and optimal performance
  • Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks

What we expect of you

  • Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years

Must-Have Skills

  • Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
  • Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
  • Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
  • Experience with popular large language models like OPEN AI
  • Experience with language models and frameworks like Langchain or llamaIndex
  • Proficiency with prompt engineering, model fine tuning
  • Familiarity with DevOps CICD build and deployment pipeline
  • Experience with design patterns, data structures, test-driven development
  • Professional Certifications: AWS, Data Science Certifications (preferred)
  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation
  • Ability to manage multiple priorities successfully
  • Team-oriented, with a focus on achieving team goals
  • Strong presentation and public speaking skills

What you can expect of us

  • Competitive benefits
  • Collaborative culture
  • Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Locations

  • Hyderabad, India

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

30,000 - 60,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)intermediate
  • Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)intermediate
  • Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)intermediate
  • Experience with popular large language models like OPEN AIintermediate
  • Experience with language models and frameworks like Langchain or llamaIndexintermediate
  • Proficiency with prompt engineering, model fine tuningintermediate
  • Familiarity with DevOps CICD build and deployment pipelineintermediate
  • Experience with design patterns, data structures, test-driven developmentintermediate
  • Professional Certifications: AWS, Data Science Certifications (preferred)intermediate
  • Excellent analytical and troubleshooting skillsintermediate
  • Strong verbal and written communication skillsintermediate
  • Ability to work effectively with global, virtual teamsintermediate
  • High degree of initiative and self-motivationintermediate
  • Ability to manage multiple priorities successfullyintermediate
  • Team-oriented, with a focus on achieving team goalsintermediate
  • Strong presentation and public speaking skillsintermediate

Required Qualifications

  • Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years (experience)

Responsibilities

  • Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
  • Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
  • Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
  • Collaborate with the design and product teams to understand user needs and translate them into technical requirements
  • Write clean, efficient, and well-tested code
  • Participate in code reviews and provide constructive feedback
  • Maintain system uptime and optimal performance
  • Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks

Benefits

  • general: Competitive benefits
  • general: Collaborative culture
  • general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

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Amgen logo

Machine Learning Engineer

Amgen

Machine Learning Engineer

Amgen logo

Amgen

full-time

Posted: November 12, 2025

Number of Vacancies: 1

Job Description

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

What you will do

  • Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
  • Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
  • Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
  • Collaborate with the design and product teams to understand user needs and translate them into technical requirements
  • Write clean, efficient, and well-tested code
  • Participate in code reviews and provide constructive feedback
  • Maintain system uptime and optimal performance
  • Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks

What we expect of you

  • Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years

Must-Have Skills

  • Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
  • Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
  • Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
  • Experience with popular large language models like OPEN AI
  • Experience with language models and frameworks like Langchain or llamaIndex
  • Proficiency with prompt engineering, model fine tuning
  • Familiarity with DevOps CICD build and deployment pipeline
  • Experience with design patterns, data structures, test-driven development
  • Professional Certifications: AWS, Data Science Certifications (preferred)
  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation
  • Ability to manage multiple priorities successfully
  • Team-oriented, with a focus on achieving team goals
  • Strong presentation and public speaking skills

What you can expect of us

  • Competitive benefits
  • Collaborative culture
  • Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Locations

  • Hyderabad, India

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

30,000 - 60,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)intermediate
  • Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)intermediate
  • Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)intermediate
  • Experience with popular large language models like OPEN AIintermediate
  • Experience with language models and frameworks like Langchain or llamaIndexintermediate
  • Proficiency with prompt engineering, model fine tuningintermediate
  • Familiarity with DevOps CICD build and deployment pipelineintermediate
  • Experience with design patterns, data structures, test-driven developmentintermediate
  • Professional Certifications: AWS, Data Science Certifications (preferred)intermediate
  • Excellent analytical and troubleshooting skillsintermediate
  • Strong verbal and written communication skillsintermediate
  • Ability to work effectively with global, virtual teamsintermediate
  • High degree of initiative and self-motivationintermediate
  • Ability to manage multiple priorities successfullyintermediate
  • Team-oriented, with a focus on achieving team goalsintermediate
  • Strong presentation and public speaking skillsintermediate

Required Qualifications

  • Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years (experience)

Responsibilities

  • Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
  • Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
  • Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
  • Collaborate with the design and product teams to understand user needs and translate them into technical requirements
  • Write clean, efficient, and well-tested code
  • Participate in code reviews and provide constructive feedback
  • Maintain system uptime and optimal performance
  • Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks

Benefits

  • general: Competitive benefits
  • general: Collaborative culture
  • general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Target Your Resume for "Machine Learning Engineer" , Amgen

Get personalized recommendations to optimize your resume specifically for Machine Learning Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Machine Learning Engineer" , Amgen

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringCloudFull StackInformation SystemsTechnology

Related Jobs You May Like

No related jobs found at the moment.