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 an opportunity to make a significant impact in the healthcare and biotech sector, working on cutting-edge ML solutions that directly affect patient care.
The position combines advanced machine learning expertise with practical MLOps implementation, requiring someone who can bridge the gap between theoretical ML knowledge and production-ready systems. You'll be working with state-of-the-art tools and technologies, including cloud platforms, MLOps frameworks, and modern ML libraries.
As a Principal Engineer, you'll have the opportunity to shape the technical direction of ML initiatives while mentoring junior team members. The role involves collaboration with data scientists, engineers, and product teams, making it ideal for someone who excels in both technical leadership and cross-functional communication.
Amgen's mission-driven culture focuses on serving patients with serious illnesses, making this role particularly meaningful for those who want to apply their ML expertise to improve healthcare outcomes. The company's strong foundation in biological science and commitment to innovation provides a unique environment where ML solutions directly contribute to medical breakthroughs.
The position offers competitive compensation, comprehensive benefits, and the chance to work with a global leader in biotechnology. For an experienced ML engineer looking to make a lasting impact in healthcare while advancing their career in a supportive, science-based environment, this role presents an exceptional opportunity.
Responsibilities For Principal Machine Learning Engineer
- Collaborate with data scientists to develop, train, and evaluate machine learning models
- Build and maintain MLOps pipelines
- Leverage cloud platforms for ML model development, training, and deployment
- Implement DevOps/MLOps best practices
- Develop and implement monitoring systems
- Conduct A/B testing and experimentation
- Guide and mentor junior engineers
- Work closely with data scientists, engineers, and product teams
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)
- Experience in DevOps tools (Docker, Kubernetes, CI/CD)
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Outstanding analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Experience with big data technologies
- Knowledge of NLP techniques
Benefits For Principal Machine Learning Engineer
- Competitive base salary
- Comprehensive Total Rewards Plans
- Professional development opportunities
- Inclusive work environment
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