LIVE FEEDVIEWS 5UTC —
POSTING ACTIVE · REQ-DEA7F · FY25.Q4
🚀 Hiring: Deep Learning Engineer – $70/hr – Mountain View, CA (21779-1)
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[ COMPENSATION RANGE · ANNUAL · BASE ]
Not Disclosed
§ 01OVERVIEW
Are you passionate about AI, Deep Learning, and Robotics? Join Tata Consultancy Services to work on autonomous robots (COBOTS) for manufacturing plants and push the boundaries of computer vision in real-world applications.
What You’ll Do:
• Research advanced computer vision techniques for robotics
• Design and develop perception systems for navigation, object detection, and obstacle avoidance
• Collaborate with robotics engineers to deploy AI models in production
• Apply Robotic Process Automation (RPA) using Automation Anywhere to optimize workflows
What We’re Looking For:
• 2–4 years of experience in Deep Learning
• Strong experience in Artificial Intelligence (AI)
• Experience with Robotic Process Automation – Automation Anywhere
• Proficiency in Python for Data Science
• Bachelor’s degree in Computer Science, Engineering, or a related field
Details:
• Experience Level: Mid-Senior
• Location: Mountain View, CA
• Total Positions: 1
• Relocation Assistance: Not provided
• Interviews: Minimum 3 rounds
How to Apply:
• Submit your resume in PDF format
• Do not include LinkedIn URLs in your resume
• If you’re excited about building next-generation robotics solutions and working at the intersection of AI and automation, we’d love to hear from you!
§ 02REQUIREMENTS
What You’ll Do
- Research advanced computer vision techniques for robotics
- Design and develop perception systems for navigation, object detection, and obstacle avoidance
- Collaborate with robotics engineers to deploy AI models in production
- Apply Robotic Process Automat
QUESTIONS AND ANSWERS
- Where is this 🚀 Hiring: Deep Learning Engineer – $70/hr – Mountain View, CA (21779-1) role based?
- The role is based in Mountain View, California, US.
- What experience does Medilinkers LLC expect for this role?
- The posting is tagged as a senior-level role, typically 5+ years of experience. Check the requirements section for specifics.
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