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Sr. Machine Learning Engineer

Procyon TS

Job Title: Staff Machine Learning Engineer

Location: Alameda, CA (Hybrid)

Client: Abbott Laboratories

Type: Full-Time / W2

Experience: 8+ years

Job Description:


Abbott Laboratories is seeking a Staff Machine Learning Engineer to lead the design, development, and deployment of scalable AI/ML solutions, particularly in the medical imaging and computer vision domain.

Key Responsibilities:

  • Build and scale deep learning platforms and foundation models for healthcare applications.
  • Develop robust ML pipelines for model training, testing, and inferencing using PyTorch, TensorFlow, and NVIDIA Triton.
  • Optimize models for deployment across cloud, edge, and medical devices.
  • Collaborate with cross-functional teams to bring AI solutions into production.
  • Implement MLOps best practices, containerization (Docker, Kubernetes), and cloud infrastructure (AWS/GCP).
Requirements:

  • 8+ years of ML engineering experience; strong in computer vision and medical AI.
  • Expertise in Python, ML frameworks, and microservices (FastAPI, KServe).
  • Hands-on with medical imaging formats (DICOM, NIfTI) and GPU optimization.
  • Strong experience with cloud platforms and model deployment tools.
Vacancy posted 2 days ago
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