Machine Learning Engineer

2 days ago


Sunnyvale, United States GForce Life Sciences Full time

Machine Learning Engineer III

12 - month contract

Hybrid in Sunnyvale, CA


Overview:

The Machine Learning Engineer is responsible for designing, developing, and deploying AI/ML applications at scale. The role focuses on architecting robust systems for AI/ML workflows, building scalable data pipelines, and collaborating with cross-functional teams to integrate AI solutions into existing products.


Responsibilities:

  • Design, develop, and deploy end-to-end AI/ML applications at scale
  • Architect robust and scalable systems for AI/ML workflows
  • Build and maintain scalable data pipelines and infrastructure to support AI/ML operations
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing products
  • Develop and implement APIs to enable communication between machine learning models and
  • other systems
  • Optimize the performance of AI/ML applications through testing, tuning, and profiling
  • Ensure the smooth deployment of AI/ML models by integrating continuous
  • integration/continuous deployment (CI/CD) pipelines


Qualifications:

  • Bachelor's degree in a related field
  • 5+ years of professional experience building end-to-end AI/ML applications
  • Strong system design skills with experience architecting complex, scalable AI/ML systems
  • Strong software engineering skills with proficiency in Python and/or C++/C/Java
  • Knowledge of DevOps practices and CI/CD pipelines
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Experience with distributed systems
  • Solid understanding of data structures, algorithms, and software design principles
  • Expertise in MLOps practices, tools, and workflows
  • Experience in integrating AI/ML models into production
  • environments with performance monitoring and version control


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