Machine Learning Engineer

New

Skills

Cloud Computing (AWS) Deep Learning (DL) Generative AI Gradient Boosted Decision Trees (GBDT) Machine Learning Engineering MLOps Python Programming PyTorch Real-time AI/ML Architectures TensorFlow

As a Staff Machine Learning Engineer, you will lead end-to-end machine learning projects, driving them from initial requirements through to successful release. You will be responsible for architecting a real-time AI/ML layer for DFM AI + IQE, integrating with Teamcenter and Designcenter. Your expertise will be critical in building scalable cloud production ML systems with real-time endpoints while ensuring quality and security through automated testing and secure ML pipelines.

Key Responsibilities
  • Lead the development and implementation of ML projects.
  • Architect real-time AI/ML solutions for complex systems.
  • Build and manage cloud-scale production ML systems.
  • Collaborate with cross-functional teams to solve ambiguous problems.
  • Set multi-quarter roadmaps and drive process improvements.
Required Skills & Qualifications
  • Bachelor's degree in STEM.
  • 6-8 years of experience in ML engineering.
  • Deep expertise in GBDT, DL, or generative AI.
  • Experience with real-time ML deployment in cloud environments (AWS preferred).
  • Proficiency in Python and ML frameworks like TensorFlow and PyTorch.
  • Strong understanding of CS fundamentals, including data structures and algorithms.
  • Experience with MLOps practices such as monitoring and auto-retraining.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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