Machine Learning Intern

Ericrobotics; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

ERIC Robotics is seeking a Machine Learning Engineer to develop and deploy advanced ML algorithms for robotic perception, sensor fusion, and real-time inference on edge devices. You will work with 3D perception, deep learning, and MLOps workflows to enable reliable autonomous operation, aiming to enhance robot intelligence and decision-making.

The role involves collaborating across robotics, firmware, PLC, cloud, and hardware teams, with emphasis on reproducibility, scalability, and

Qualifications

• Bachelor’s or Master’s in computer science, robotics, electronics, or related field.
• Strong proficiency in deep learning frameworks (PyTorch/TensorFlow).
• Solid experience with C++ and Python for ML model development.
• Familiarity with ROS/ROS2-based robotic systems.

Responsibilities

• Develop, train, and optimise deep learning models for robotic perception and decision-making.
• Implement sensor fusion pipelines (camera + LiDAR + IMU) for robust perception.
• Apply Open3D/PCL for 3D point cloud processing and robot navigation integration.
• Optimize model inference using ONNX/TensorRT/CUDA for edge deployment.
• Integrate perception models with control and navigation stacks in real-time robotics.

Skills

Deep learning frameworks (PyTorch/TF)

C++

Python

ROS/ROS2 systems

Open3D/PCL

CUDA

ONNX/TensorRT optimizations

Sensor fusion

Cloud platforms (AWS/GCP/Azure)

Linear algebra & probability

Problem solving & communication

Education

Bachelor’s/Master’s in CS, Robotics, Electronics

Tools

Open3D

PCL

Jetson/Xavier edge devices

Job description

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.

Job Description

Role Summary

As a MachineLearning Engineer at ERIC Robotics, you will be responsible for developing and deploying advanced machine learning algorithms with a focus on sensorfusion, 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. Youwill also contribute to MLOps workflows, ensuring reproducibility, scalability,and efficient model deployment.

Key Responsibilities

Core ML & Sensor Fusion

• Develop, train, and optimise deep learning models for robotic perception and decision-making.
• Implement sensorfusion 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.
• 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.
• 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

• Bachelor’s/Master’s 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 sensorfusion 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 .
• 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