Jobs via Dice

ML Engineer Need Only Local to CA

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Fremont, CA, offering a 6+ month contract at a competitive pay rate. Key skills include expertise in Computer Vision, advanced Machine Learning, and proficiency in Python and ML frameworks like PyTorch/TensorFlow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Fremont, CA
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🧠 - Skills detailed
#Python #AI (Artificial Intelligence) #Automation #PyTorch #ML (Machine Learning) #TensorFlow #Programming #Data Pipeline #Datasets #Monitoring #Object Detection
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Pacific Consultancy Services, is seeking the following. Apply via Dice today! Job Description: Primary Skills: Computer Vision (Expert), Machine Learning (Advanced), PyTorch/TensorFlow (Proficient), Data Pipelines (Proficient), Python (Expert) Contract Type: W2 and C2C Location: Fremont, CA(Onsite) Duration: 6+ months(Possible Extension) Job Summary: We are looking for a Machine Learning & Computer Vision Engineer to tackle advanced perception problems within our manufacturing environments, utilizing our unique internal datasets. The ideal candidate will develop, optimize, and deploy models for automated visual inspection and factory automation, contributing to the high-speed, precision manufacturing of clients vehicles. This role calls for strong collaboration with engineering teams, hands-on problem solving in factory settings, and continuous model improvement for real-time, robust application in production. Key Responsibilities: Develop and optimize advanced vision and perception models for manufacturing quality inspection and defect detection. Work with multi-sensor input and robotics to refine object detection, localization, and attribute understanding in production environments. Train and adapt models on Clients-specific datasets to meet high accuracy and robustness standards. Create domain-specific solutions surpassing standard approaches, tailor-made for Clients automation and manufacturing requirements. Collaborate closely with engineering teams for the seamless integration of ML models into manufacturing systems and their subsequent performance monitoring. Must-Have Skills: Proven expertise in Computer Vision, Machine Learning, and AI model development. Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow). Experience with large, domain-specific datasets; expertise in data labeling, preprocessing, and augmentation.