[Remote] Sr Machine Learning Engineer
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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