JIO ROBOTICS Academy

JIO ROBOTICS provides intelligent humanoid robots for industrial automation. IO – Manufacturing Industrial Operations Robot is a next-generation humanoid designed for real-world factory environments with precise manipulation. The company relies on its AI robotics platform and registered IP, with patent pending in the USA and internationally. Manufacturing readiness is progressing, with prototypes tested and pilot discussions underway. It targets manufacturing sectors such as automotive, electronics, medical devices, and packaging, aiming to scale automation across large-scale industrial operations.

Custom Made Industrial 4.0 Humanoid Robotsjiorobotics.com

JIO ROBOTICS Academy

Custom Made Industrial 4.0 Humanoid Robotsjiorobotics.com

HQGermantown, US

Team Size8

Open Jobs14

Total Funding-

Latest FundraiseUnknown

Join the Team

DevOps Developer with AI-ML-DL skills Intern to Fulltime REMOTE/ONSITE

HybridGermantown, MD, US

Hybrid • Germantown, MD, US

Company Description:

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Technical Writer

Part-timeTel Aviv

Part-time • Tel Aviv

Backend Developer

InternshipBerlin, DE

Internship • Berlin, DE

Machine Learning Engineer

InternshipHamburg, DE

Internship • Hamburg, DE

Data Scientist

InternshipUtrecht, NL

Internship • Utrecht, NL

DevOps Engineer

InternshipLondon, GB

Internship • London, GB

Software Engineer

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Bachelor's or Master's degree in Robotics, Computer Science, or Mechanical Robotic Automation Engineers related field
Masters degree in Automation Engineering is PLUS
Mechanical Engineering and Electrical Engineering Knowledge Preferred.
Experience in designing and deploying algorithms, Deep Learning and Machine Learning techniques
Proficiency in robotic system design and development MUST
Develop automated MLOps pipelines for training, testing, and deploying ML models
Build scalable cloud infrastructure for AI workloads
Create CI/CD workflows for robotics, AI, and software systems
Containerize ML/DL models using Docker and deploy on Kubernetes
Implement model monitoring, performance tracking, and logging
Optimize models using ONNX, TensorRT, or GPU acceleration
Collaborate with Robotics, Software, and AI teams to integrate ML systems into production
Maintain secure, reliable, and scalable DevOps environments
Strong programming skills in relevant languages C++, DL & ML, Experience with ML frameworks (PyTorch, TensorFlow)
Experience with Terraform, Docker, Git, Kubernetes
Knowledge of MLOps tools (MLflow, SageMaker, Kubeflow)
Understanding of CI/CD workflows and automation
Familiarity with Jetson, edge AI, or robotics is a plus