AI/ML Engineer

Vayu Galaxy; Delhi; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Vayu Galaxy is seeking an AI/ML Engineer to design, train, and deploy models for autonomous flight systems and rolling robotics. You will work on real-time classification, pathfinding optimization, and telemetry anomaly detection.

Responsibilities include developing deep learning models for navigation, optimizing RL agents, and integrating sensor data from LiDAR and thermal cameras into embedded systems.

Qualifications

• Bachelor's degree in Computer Science, Robotics, or Data Science.
• Strong proficiency in Python, PyTorch, or TensorFlow.
• Solid understanding of neural networks, computer vision, and machine learning mathematics.
• Familiarity with Linux environments and git-based workflows.

Responsibilities

• Develop deep learning models for autonomous navigation, path planning, and spatial classification.
• Optimize reinforcement learning agents in virtual physics simulators.
• Fine-tune lightweight object-detection networks to run on resource-constrained embedded systems.
• Partner with sensor-fusion teams to process raw LiDAR and thermal camera inputs.

Skills

Python

PyTorch

TensorFlow

Neural networks

Computer vision

Machine learning mathematics

Education

Bachelor's degree in Computer Science, Robotics, or Data Science

Tools

Linux

Git

ONNX

TensorRT

Stable Baselines

Job description

Technology & Software Full-time Delhi NCR, India

EXPERIENCE REQUIRED: 3-5 years POSTED: 2026-08-15

ROLE OVERVIEW

We are looking for an AI/ML Engineer to design, train, and deploy computational intelligence models for autonomous flight systems and rolling robotics. You will work on real-time classification, pathfinding optimization, and telemetry anomaly detection.

CORE RESPONSIBILITIES

• Develop deep learning models for autonomous navigation, path planning, and spatial classification.
• Optimize reinforcement learning agents in virtual physics simulators.
• Fine-tune lightweight object-detection networks to run on resource-constrained embedded systems.
• Partner with sensor-fusion teams to process raw LiDAR and thermal camera inputs.

PROFESSIONAL REQUIREMENTS

• Bachelor's degree in Computer Science, Robotics, or Data Science.
• Strong proficiency in Python, PyTorch, or TensorFlow.
• Solid understanding of neural networks, computer vision, and machine learning mathematics.
• Familiarity with Linux environments and git-based workflows.

PREFERRED QUALIFICATIONS

• Experience deploying models using ONNX or TensorRT on embedded hardware.
• Familiarity with reinforcement learning tools like Stable Baselines.