AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with 4+ years of experience, particularly in the automotive industry. It’s a 3-month contract (hybrid, 90% remote) at a pay rate of "unknown." Key skills include PyTorch, deep learning, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 20, 2025
🕒 - Project duration
3 to 6 months
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
W2 Contractor
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
California, United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #PyTorch #Documentation #Code Reviews #Cloud #Deep Learning #Python #Model Optimization #Data Pipeline
Role description
Independent Candidates Only - W2 Only Job Title: AI/ML Engineer Location: (Hybrid – 90% remote, onsite 1x weekly) in CA Contract Type: 3-month contract with potential to extend or convert to FTE • • No Sponsorship Offered Interview- Onsite Mode About the Role Seeking an experienced AI/ML Engineer with strong automotive industry experience to join their growing team. This position offers the opportunity to work on cutting-edge projects in machine learning and deep learning while collaborating with diverse research and engineering teams. Key Responsibilities • Design, develop, and implement machine learning models for automotive applications. • Apply deep learning techniques (especially with PyTorch) to solve research and applied problems. • Review and interpret research papers to translate findings into practical prototypes and projects. • Contribute to distributed training of large-scale foundation models (e.g., VLMs, text-to-video models). • Collaborate across teams in a fast-paced, dynamic environment, switching between rapid prototyping and production-level implementation. • Participate in code reviews, documentation, testing, and CI/CD workflows to maintain software best practices. Required Skills & Experience • Automotive experience (highest priority). • Hands-on PyTorch expertise with demonstrated applications in real-world projects. • 4+ years of professional ML engineering experience in AI/ML-focused organizations. • Familiarity with state-of-the-art ML in behavior learning, computer vision, and/or language models. • Experience with distributed training, model optimization (quantization, mixed precision, model/data parallelism, FSDP). • Strong proficiency in Python and modern software development practices. • Knowledge of data pipelines, model serving, cloud-based training, and dataset management.