

SAN R&D Business Solutions
Deep Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Deep Learning Engineer with 7+ years of overall experience and 2-4 years in deep learning. It is a W2 contract, onsite in Mountain View, CA, requiring expertise in AI, Python, and Automation Anywhere.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 4, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Mountain View, CA
-
🧠 - Skills detailed
#Model Deployment #NumPy #Process Automation #AI (Artificial Intelligence) #Automation #TensorFlow #Pandas #Data Science #PyTorch #Object Detection #"ETL (Extract #Transform #Load)" #Python #Debugging #Deployment #Deep Learning
Role description
Now Hiring !! Deep Learning Engineer | W2 Contract | Onsite
Experience: 7+ Years (Overall)
Deep Learning Experience: 2–4+ Years (Mandatory)
Employment Type: W2 Contract
Location: Mountain View, CA
Relocation: No
Visa Sponsorship: No
About the Role: We are looking for a highly skilled Deep Learning Engineer with proven expertise in Computer Vision, AI, and Python, to develop intelligent perception systems for autonomous COBOTs in manufacturing environments. The ideal candidate should also have hands-on experience with Automation Anywhere or Robotic Process Automation (RPA).
Key Responsibilities:
1.Computer Vision & AI Development
• Design and implement perception systems for COBOTs
• Develop algorithms for object detection, tracking, segmentation, and avoidance
• Work with real-time sensor data via cameras, LiDAR, or 3D vision
2.Deep Learning & Model Deployment
• Train and fine-tune models using TensorFlow/PyTorch
• Optimize inference for edge or embedded deployment
• Develop and validate AI-driven automation workflows
3.RPA & Automation Integration
• Apply Automation Anywhere / RPA tools to improve operational efficiency
• Integrate AI-based automation solutions into robotics pipelines
4.Python & Data Science
• Write efficient code for deep learning, data handling, and algorithms
• Implement ETL, preprocessing, and model pipeline automation
5.Collaboration & Testing
• Work closely with robotics, firmware, and data teams
• Conduct debugging, testing, and performance optimization
• Deploy models in production environments
Mandatory Skills:
• 2–4 years of hands-on Deep Learning experience
• Strong expertise in Artificial Intelligence (AI)
• Experience with Robotic Process Automation – Automation Anywhere
• Proficiency in Python for Data Science (NumPy, Pandas, TensorFlow/PyTorch)
Now Hiring !! Deep Learning Engineer | W2 Contract | Onsite
Experience: 7+ Years (Overall)
Deep Learning Experience: 2–4+ Years (Mandatory)
Employment Type: W2 Contract
Location: Mountain View, CA
Relocation: No
Visa Sponsorship: No
About the Role: We are looking for a highly skilled Deep Learning Engineer with proven expertise in Computer Vision, AI, and Python, to develop intelligent perception systems for autonomous COBOTs in manufacturing environments. The ideal candidate should also have hands-on experience with Automation Anywhere or Robotic Process Automation (RPA).
Key Responsibilities:
1.Computer Vision & AI Development
• Design and implement perception systems for COBOTs
• Develop algorithms for object detection, tracking, segmentation, and avoidance
• Work with real-time sensor data via cameras, LiDAR, or 3D vision
2.Deep Learning & Model Deployment
• Train and fine-tune models using TensorFlow/PyTorch
• Optimize inference for edge or embedded deployment
• Develop and validate AI-driven automation workflows
3.RPA & Automation Integration
• Apply Automation Anywhere / RPA tools to improve operational efficiency
• Integrate AI-based automation solutions into robotics pipelines
4.Python & Data Science
• Write efficient code for deep learning, data handling, and algorithms
• Implement ETL, preprocessing, and model pipeline automation
5.Collaboration & Testing
• Work closely with robotics, firmware, and data teams
• Conduct debugging, testing, and performance optimization
• Deploy models in production environments
Mandatory Skills:
• 2–4 years of hands-on Deep Learning experience
• Strong expertise in Artificial Intelligence (AI)
• Experience with Robotic Process Automation – Automation Anywhere
• Proficiency in Python for Data Science (NumPy, Pandas, TensorFlow/PyTorch)