GForce Life Sciences | Machine Learning Engineer | sunnyvale, ca

1 week ago


sunnyvale, United States GForce Life Sciences Full time

Location: Hybrid (Sunnyvale)

Duration: 12+ W2 Contract (C2C not available)

Payrate: $55 - $62/hr

Job Overview:

The Machine Learning Engineer will design, develop, and deploy AI/ML applications at scale. The role involves creating robust systems, building data pipelines, and working with cross-functional teams to integrate AI solutions into products. You will be responsible for developing APIs, optimizing performance, and ensuring smooth deployment of machine learning models.

Key Responsibilities:

  • Design, develop, and deploy AI/ML applications end-to-end
  • Build scalable data pipelines and infrastructure for AI/ML operations
  • Collaborate with teams to integrate AI/ML solutions into products
  • Develop APIs for communication between ML models and other systems
  • Optimize AI/ML performance through testing and tuning
  • Ensure seamless deployment of models using CI/CD pipelines

Required Skills & Experience:

  • 1+ years of experience in building AI/ML applications
  • Strong system design skills for scalable AI/ML systems
  • Proficiency in Python, C++, Java, or similar languages
  • Experience with machine learning frameworks (TensorFlow, PyTorch)
  • Knowledge of DevOps and CI/CD practices
  • Experience with distributed systems and cloud platforms (AWS, GCP, Azure)
  • Familiarity with MLOps tools and workflows

Education:

  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred)

Preferred Skills:

  • Familiarity with Generative AI and chatbot development
  • Contributions to open-source ML projects
  • Experience with RAG techniques or similar


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