Machine Learning Intern

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• Job details
  

Job Information

• Job Opening ID ZR_2_JOB
• Department Name Machine Learning
• Target Date 12/30/2025
• Number of Positions 6
• Job Opening Status In-progress
• Date Opened 03/04/2026
• Industry Technology
• Job Type Any
• Required Skills
• deleteCurrentSkillOnBackspace(event)> machine learning algorith...
• deleteCurrentSkillOnBackspace(event)> 3D
• openCompetencySkills()>+15
• Work Experience 0-1 year
• Created Time 11/22/2025 12:48
• City Pune
• State/Province Maharashtra
• Country India
• Zip/Postal Code 411019
  

About Us
ERIC Robotics, a Premier Seals India initiative to form a dynamic Indian research and development organization is leading the charge in revolutionizing industrial inspection and monitoring through robotics. Our expertise lies in designing and developing next-generation autonomous mobile robots and drones, intended to push the boundaries of innovation across markets.

Role Summary

As a Machine Learning Engineer at ERIC Robotics, you will be responsible for developing and deploying advanced machine learning algorithms with a focus on sensor fusion, real-time inference optimization, and deployment on edge devices. Your role will merge deep learning, 3D perception, and robotics to enhance the intelligence, perception, and decision-making capabilities of our robots. You will also contribute to MLOps workflows, ensuring reproducibility, scalability, and efficient model deployment.
Key Responsibilities
Core ML & Sensor Fusion

• Develop, train, and optimize deep learning models for robotic perception and decision-making.
• Implement sensor fusion pipelines (camera + LiDAR + IMU + other sensors) for robust perception.
• Apply Open3D/PCL for 3D point cloud processing and integration into robotic navigation systems.
• Optimize model inference using ONNX/TensorRT/CUDA for deployment on edge GPUs (Jetson, Orin, Xavier).
• Integrate perception models with control and navigation stacks for real-time robotics applications.
  

MLOps & Experiment Tracking

• Implement experiment tracking using MLflow/W&B for reproducibility and systematic evaluation.
• Develop workflows for cloud-based training, deployment, and monitoring of ML models.
• Automate CI/CD pipelines for ML model updates and deployment.
  

Mathematical & Algorithmic Foundation

• Apply linear algebra, calculus, and probability in designing ML algorithms and robotics perception systems.
• Work on computational optimization problems in real-time robotics scenarios.
  

General & Collaboration

• Collaborate with cross-functional teams (robotics, firmware, PLC, cloud, hardware).
• Document research, experiments, and deployments for knowledge sharing.
• Contribute to innovative problem-solving, logical reasoning, and teamwork communication.
  

Requirements

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• Bachelors/Masters in Computer Science, Robotics, Electronics, or related field.
• Strong proficiency in Deep Learning frameworks (PyTorch/TensorFlow).
• Solid experience in C++ and Python for ML model development.
• Familiarity with ROS/ROS2-based robotic systems.
• Experience with Open3D/PCL for 3D vision tasks.
• Hands-on with CUDA programming for GPU acceleration.
• Understanding of ONNX/TensorRT optimizations for deployment.
• Experience with sensor fusion across multiple modalities.
• Knowledge of cloud platforms (AWS/GCP/Azure) for ML training and inference.
• Strong foundation in linear algebra, probability, and optimization techniques.
• Excellent problem-solving, logical reasoning, and communication skills.
  

Good To Have (Optional Skills)

• Experience in deploying ML models on edge robotics hardware (Jetson, Orin, Xavier NX).
• Exposure to real-time systems and embedded AI integration.
• Prior work experience in CV Task.
  

Benefits

• Hands-on experience working with real robotic systems
• Opportunity to work on production-level deep learning pipelines
• Exposure to sensor fusion, 3D perception, and edge AI
• Mentorship from senior CV/Robotics engineers
• Access to Jetson-based deployments (Xavier NX, Orin, AGX)
• Opportunity to convert to full-time ML Engineer based on performance
• Work in a high-growth robotics startup environment
• Internship certificate + recommendation based on contribution
  

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