Machine Learning Engineer
Amgen
Machine Learning Engineer
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
Tags & Categories
Machine Learning Engineer
Amgen
Machine Learning Engineer
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
Tags & Categories