Machine Learning Engineer

Responsibilities

• Develop and deploy applications utilizing Large Language Models such as GPT-4, Claude, and Gemini
• Build and maintain end-to-end MLOps pipelines, including data ingestion, versioning, vectorization, and model monitoring
• Implement DevOps, MLOps, and LLMOps best practices to automate machine learning workflows
• Leverage cloud platforms (AWS, Azure, or GCP) for model development, training, and deployment
• Conduct A/B testing and experimentation to optimize model performance
• Collaborate with data scientists, engineers, and product teams to deliver scalable ML solutions

Requirements

• Master's or Bachelor's degree in a relevant field
• 5-8 years of experience in Software Engineering, Data Science, or Machine Learning Engineering
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain
• Strong knowledge of Large Language Models (LLMs)
• Familiarity with cloud computing environments (AWS, Azure, or GCP)

Preferred Qualifications

• Experience building custom solutions using LLMs to meet specific business needs
• Hands-on experience with DevOps tools including Docker, Kubernetes, and CI/CD pipelines
• Background in data engineering and pipeline development

About the Company

Amgen is a leading biotechnology company dedicated to unlocking the potential of biology for patients suffering from serious illnesses. By leveraging advanced human genetics and biologics manufacturing expertise, Amgen discovers and delivers innovative human therapeutics to improve health outcomes worldwide.