Overview

You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation.

Responsibilities

• We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background and experience working with Large Language Models (LLMs) to join our team. You will play a pivotal role in building and scaling our machine learning models and LLM applications from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable pipelines and applications.
• Develop and deploy applications that utilize LLMs such as OpenAI GPT 4, Claude, Gemini
• Build and maintain MLOps pipelines, including data ingestion, versioning, chunking, vectorization, feature engineering, model training, deployment, and monitoring.
• Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
• Implement DevOps/MLOps/LLMOps best practices to automate ML workflows and improve efficiency.
• Develop and implement monitoring systems to track model performance and identify issues.
• Conduct A/B testing and experimentation to optimize model performance.
• Work closely with data scientists, engineers, and product teams to deliver ML solutions.
• Stay updated with the latest trends and advancements

Qualifications

• Strong foundation in machine learning algorithms and techniques
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, langchain)
• Familiar with AWS, Azure, or Google Cloud;
• 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.
• Master’s / Bachelor’s degree and 5 - 8 years of experience in Software Engineering, Data Science or Machine Learning Engineering Experience