Machine Learning Engineer
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Description : Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training.
Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production.
Drive efficiency in large-scale distributed training and data processing pipelines.
Establish best practices for reliability, scalability, and performance across the AI/ML platform.
Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies.
Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives.
Skills (Required Qualifications):
- Bachelor's degree or higher in Computer Science, related field, or equivalent experience.
- 8+ years of professional software engineering experience.
- 4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models).
- Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow.
- Experience with distributed systems, GPU computing, and cloud environments (AWS, Google Cloud Platform, or Azure).
- Comfortable operating in highly ambiguous and dynamic environments.
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