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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.
Job Description
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
- 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 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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