Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer contract position in Fremont, CA, focusing on the Automotive Industry. Requires expertise in Python, deep learning frameworks (e.g., Pytorch), and real-world ML deployment experience. Strong skills in computer vision and statistics are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Fremont, CA
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🧠 - Skills detailed
#Deep Learning #ML (Machine Learning) #TensorFlow #Consulting #Statistics #Neural Networks #Pandas #PyTorch #Supervised Learning #AI (Artificial Intelligence) #Python #CCN (Convolutional Neural Network) #Recommender Systems
Role description
Machine Learning Engineer | Contract
We are seeking a passionate Machine Learning Engineer to support innovative projects within the Automotive Industry. As a consulting and staffing partner, we place top talent on contract opportunities with leading companies shaping the future of mobility.
📌 Position Details
• Role: Machine Learning Engineer
• Type: Contract (W2/C2C)
• Location: Fremont, CA (Only Locals)
• Industry: Automotive Industry
What You’ll Do
Serve as a member of the factory software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments. Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc. Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations. Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur. Must be able to clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data.
Minimum Requirements:
In-depth knowledge of Python for high-performance data-intensive applications.
Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.)
Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research.
Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance.
Real-world experience deploying and maintaining production machine learning use-cases.
Passion for clean code and sustainable modular code for taking research ideas into production.
💡 Why Join Us?
• Work on groundbreaking projects in the Automotive manufacturing's sector.
• Gain valuable industry experience with a Fortune 500-level client.
• Competitive hourly rates + long-term contract potential.
• Career growth opportunities with our consulting firm.
👉 Apply now and drive the future of AI in mobility!
Machine Learning Engineer | Contract
We are seeking a passionate Machine Learning Engineer to support innovative projects within the Automotive Industry. As a consulting and staffing partner, we place top talent on contract opportunities with leading companies shaping the future of mobility.
📌 Position Details
• Role: Machine Learning Engineer
• Type: Contract (W2/C2C)
• Location: Fremont, CA (Only Locals)
• Industry: Automotive Industry
What You’ll Do
Serve as a member of the factory software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments. Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc. Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations. Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur. Must be able to clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data.
Minimum Requirements:
In-depth knowledge of Python for high-performance data-intensive applications.
Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.)
Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research.
Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance.
Real-world experience deploying and maintaining production machine learning use-cases.
Passion for clean code and sustainable modular code for taking research ideas into production.
💡 Why Join Us?
• Work on groundbreaking projects in the Automotive manufacturing's sector.
• Gain valuable industry experience with a Fortune 500-level client.
• Competitive hourly rates + long-term contract potential.
• Career growth opportunities with our consulting firm.
👉 Apply now and drive the future of AI in mobility!
