Amgen

#WeareBiotech

Senior Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+Since 1980H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California, Florida

Posted

20 days ago

Salary

$164.0K - $209.1K / year

Bachelor Degree2 yrs expEnglishAirflowAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPy TorchScikit LearnTensorflow

Job Description

• 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

Job Requirements

  • 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)
  • Doctorate degree OR Master’s degree and 2 years of Computer Science experience OR Bachelor’s degree and 4 years of Computer Science experience OR Associate’s degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience
  • Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.
  • 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.

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
  • flexible spending accounts
  • A discretionary annual bonus program
  • stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models, including remote and hybrid work arrangements, where possible

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