Note: The job is a remote job and is open to candidates in USA. Amgen is a biotechnology company focused on serving patients with serious illnesses. The Senior Machine Learning Engineer will play a pivotal role in building and scaling machine learning models, collaborating with data scientists and engineers to create efficient and reliable ML pipelines.

Responsibilities

• Collaborate with data scientists to develop, train, and evaluate machine learning models
• Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
• Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
• Implement DevOps/MLOps 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

Skills

• Solid foundation in machine learning algorithms and techniques
• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
• Doctorate degree
• Master's degree and 2 years of Computer Science experience
• Bachelor's degree and 4 years of Computer Science experience
• Associate's degree and 8 years of Computer Science experience
• High school diploma / GED and 10 years of Computer Science experience
• 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
• Ability to learn quickly, be organized and detail oriented
• Strong presentation and public speaking skills
• Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models, including remote and hybrid work arrangements, where possible

Company Overview

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