Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Fremont, CA, with a contract length of unspecified duration and a pay rate of "unknown." Key skills include advanced Python, C++, deep learning frameworks (PyTorch, TensorFlow), and expertise in computer vision or LLMs.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 19, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Fremont, CA
-
🧠 - Skills detailed
#Recommender Systems #Deep Learning #PyTorch #Statistics #Model Evaluation #Programming #Scala #Automation #TensorFlow #Model Optimization #Data Processing #C++ #Python #Deployment #ML (Machine Learning)
Role description
Role - Machine Learning Engineer
Location- Fremont, CA-- 4 days onsite—local candidates only
Algorithm Development & Optimization
• Rapid prototyping of algorithms for high-performance, data-intensive applications.
• Optimization for speed, efficiency, and scalability in production environments.
1. Programming & Integration
• Python – advanced expertise for data processing, ML model development, and automation.
• C++ – desirable proficiency for integration with vehicle firmware and full product lifecycle delivery.
1. Mathematical & Statistical Foundations
• Strong background in:
• Linear Algebra and Geometry – essential for ML, graphics, and computer vision.
• Probability Theory – for modeling uncertainty and decision-making.
• Numerical Optimization – for training and refining models.
• Statistics – for model evaluation and performance analysis.
1. Deep Learning Frameworks
• Hands-on experience with PyTorch and TensorFlow for model development and deployment.
1. Model Optimization & Deployment
• Skilled in performance-enhancing techniques:
• Quantization
• Pruning
• TensorRT conversion
• Deploying and maintaining production machine learning use cases.
1. Domain Expertise
• Proficiency in at least one specialized area:
• Computer Vision
• Large Language Models (LLMs)
• Recommender Systems
• Operations Research
1. Software Engineering Best Practices
• Writing clean, sustainable, and modular code.
Translating research prototypes into robust, production-ready systems.
Thanks and Regards💕
Nikhil
Technical Recruiter
Email : Nikhil@sibitalent.com
Web: www.sibitalent.com
Role - Machine Learning Engineer
Location- Fremont, CA-- 4 days onsite—local candidates only
Algorithm Development & Optimization
• Rapid prototyping of algorithms for high-performance, data-intensive applications.
• Optimization for speed, efficiency, and scalability in production environments.
1. Programming & Integration
• Python – advanced expertise for data processing, ML model development, and automation.
• C++ – desirable proficiency for integration with vehicle firmware and full product lifecycle delivery.
1. Mathematical & Statistical Foundations
• Strong background in:
• Linear Algebra and Geometry – essential for ML, graphics, and computer vision.
• Probability Theory – for modeling uncertainty and decision-making.
• Numerical Optimization – for training and refining models.
• Statistics – for model evaluation and performance analysis.
1. Deep Learning Frameworks
• Hands-on experience with PyTorch and TensorFlow for model development and deployment.
1. Model Optimization & Deployment
• Skilled in performance-enhancing techniques:
• Quantization
• Pruning
• TensorRT conversion
• Deploying and maintaining production machine learning use cases.
1. Domain Expertise
• Proficiency in at least one specialized area:
• Computer Vision
• Large Language Models (LLMs)
• Recommender Systems
• Operations Research
1. Software Engineering Best Practices
• Writing clean, sustainable, and modular code.
Translating research prototypes into robust, production-ready systems.
Thanks and Regards💕
Nikhil
Technical Recruiter
Email : Nikhil@sibitalent.com
Web: www.sibitalent.com
