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Principal Machine Learning Engineer

A leading biotechnology company pioneering innovative human therapeutics since 1980, focusing on discovering, developing, and manufacturing treatments for serious illnesses.
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Healthcare · Biotech · AI

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 combines cutting-edge ML engineering with the meaningful mission of serving patients with serious illnesses. The position offers an opportunity to work at the intersection of biotechnology and artificial intelligence, building and scaling machine learning models from development to production.

The ideal candidate will lead MLOps initiatives, working with state-of-the-art tools and technologies while collaborating with cross-functional teams of data scientists, engineers, and product specialists. You'll be responsible for developing sophisticated ML pipelines, implementing monitoring systems, and driving best practices in ML model deployment and maintenance.

This role requires extensive experience in machine learning, MLOps, and software engineering, with a focus on building scalable solutions. You'll have the chance to mentor junior engineers while working on projects that directly impact patient care and medical advancement. The position offers competitive compensation and comprehensive benefits, along with the opportunity to work for a company at the forefront of biotechnology innovation.

Amgen provides a collaborative, science-based culture where you can make a lasting impact on patients' lives while advancing your career in a supportive environment. The company's focus on four therapeutic areas – Oncology, Inflammation, General Medicine, and Rare Disease – means your work will contribute to groundbreaking treatments that help millions of patients globally.

Last updated 2 days ago

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 and deployment
  • Implement DevOps/MLOps best practices
  • Develop monitoring systems to track model performance
  • 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

Python
Kubernetes
  • Doctorate degree and 2 years experience OR Master's with 8-10 years experience OR Bachelor's with 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)
  • Experience with big data technologies
  • Knowledge of NLP techniques
  • Cloud computing experience (AWS, Azure, or Google Cloud)
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills

Benefits For Principal Machine Learning Engineer

  • Competitive base salary
  • Comprehensive Total Rewards Plans
  • Professional development opportunities
  • Inclusive work environment

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