Principal Machine Learning Engineer
Description For Principal Machine Learning Engineer
Amgen, a leading biotechnology pioneer since 1980, is seeking a Principal Machine Learning Engineer to join their innovative team in Hyderabad. This role represents a unique opportunity to impact healthcare through advanced machine learning applications.
The position combines cutting-edge ML engineering with the noble mission of serving patients living with serious illnesses. As a Principal ML Engineer, you'll be at the forefront of developing and implementing sophisticated machine learning solutions that contribute to Amgen's work in Oncology, Inflammation, General Medicine, and Rare Disease.
The role demands expertise in both traditional ML engineering and modern MLOps practices. You'll be responsible for building robust ML pipelines, from development to production, working with state-of-the-art tools and technologies including Python, TensorFlow, PyTorch, and Kubernetes. The position offers exposure to big data technologies, cloud platforms, and the Databricks ecosystem.
What makes this role particularly compelling is its impact on healthcare innovation. You'll be working with a collaborative, science-based team that values innovation and technical excellence. The position offers significant growth opportunities, including mentoring junior engineers and staying at the forefront of ML advancements.
Amgen provides a comprehensive benefits package and a culture that supports professional growth. The company's commitment to using advanced human genetics and biotechnology to fight serious diseases makes this an exciting opportunity for someone passionate about combining technical expertise with meaningful impact.
This role is perfect for an experienced ML engineer who wants to apply their skills in a purpose-driven environment, working on projects that directly impact patient care and medical advancement. The position requires strong technical skills balanced with excellent communication abilities, as you'll be collaborating with cross-functional teams including data scientists, engineers, and product teams.
Responsibilities For Principal Machine Learning Engineer
- 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
- Develop and implement monitoring systems to track model performance
- Conduct A/B testing and experimentation to optimize model performance
- Guide and mentor junior engineers in the team
Requirements For Principal Machine Learning Engineer
- Doctorate degree and 2 years experience OR Master's degree and 8-10 years experience OR Bachelor's degree and 10-14 years experience
- Strong foundation in machine learning algorithms and techniques
- Experience in MLOps practices and tools (MLflow, Kubeflow, Airflow)
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Experience with DevOps tools (Docker, Kubernetes, CI/CD)
- Outstanding analytical and problem-solving skills
- Excellent communication and interpersonal skills
Benefits For Principal Machine Learning Engineer
- Competitive base salary
- Comprehensive Total Rewards Plans aligned with local industry standards
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