Machine Learning & Robotics Engineer

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

Job summary

Skylark Labs in Pune, Maharashtra, India (On-site) seeks engineers to design, train, and deploy computer vision and embodied AI models for edge and cloud environments. The role focuses on robotics foundation models, data curation, and efficient deployment across devices.

You will work with Python, PyTorch/OpenCV, and modern DL frameworks to advance visual intelligence across robotics, smart cities, manufacturing, surveillance and safety domains.

Qualifications

• 2+ years hands-on experience in computer vision, robotics AI, or deep learning development.
• Proficiency in Python with computer vision libraries and data processing tools.
• Strong expertise in deep learning frameworks for training custom models and leveraging pretrained architectures.
• Experience or familiarity with robotics foundation models, including Vision-Language-Action (VLA) models, or other embodied AI architectures.
• Experience with deployment and optimization on edge computing devices.
• Familiarity with hardware acceleration and model optimization tools.
• Understanding of classical computer vision techniques, including image processing fundamentals.
• Experience in data pipeline management for vision applications.
• Proficiency with version control systems and collaborative development workflows.
• Basic experience working with video streams from cameras, drones, robots, or embedded platforms.

Responsibilities

• Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks.
• Develop, fine-tune, and evaluate robotics foundation models, including Vision-Language-Action (VLA) models, for embodied AI applications.
• Handle end-to-end data management, including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data.
• Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment.
• Optimize model inference performance on both cloud and edge computing platforms.
• Develop and fine-tune deep learning architectures using modern frameworks.
• Integrate computer vision and robotics models into production pipelines and edge-based inference systems.
• Collaborate with MLOps/DevOps and product teams to deploy AI solutions at scale.
• Research and evaluate emerging techniques to continuously improve system accuracy and efficiency.

Skills

Python

Computer vision

Deep learning

Edge deployment

MLOps

Version control

Data processing

Robotics

Drones/embedded platforms

Tools

PyTorch

TensorFlow

OpenCV

CUDA

Job description

Job Description

Location: Pune, Maharashtra, India (On-site)

Company: Skylark Labs

Location: Pune, Maharashtra, India (On-site)

Location: Pune

Experience: 2+ years

Employment Type: Full-Time

About Skylark Labs

At Skylark Labs, we pioneer embodied artificial intelligence that seamlessly integrates into every physical device, evolving toward true general intelligence. Our mission is to transform the world by creating adaptive AI systems that empower innovation, enhance safety, and redefine connectivity for a smarter, more sustainable future.

We are building scalable AI-driven solutions to power next-generation visual intelligence systems and embodied AI. Join our team of passionate engineers and researchers to solve real-world problems across domains like robotics, smart cities, manufacturing, surveillance, and public safety, while contributing to the future of embodied AI.

Key Responsibilities

• Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks.
• Develop, fine-tune, and evaluate robotics foundation models, including Vision-Language-Action (VLA) models, for embodied AI applications.
• Handle end-to-end data management, including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data.
• Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment.
• Optimize model inference performance on both cloud and edge computing platforms.
• Develop and fine-tune deep learning architectures using modern frameworks.
• Integrate computer vision and robotics models into production pipelines and edge-based inference systems.
• Collaborate with MLOps/DevOps and product teams to deploy AI solutions at scale.
• Research and evaluate emerging techniques to continuously improve system accuracy and efficiency.

Required Skills

• 2+ years of hands‑on experience in computer vision, robotics AI, or deep learning development.
• Proficiency in Python with computer vision libraries and data processing tools.
• Strong expertise in deep learning frameworks for training custom models and leveraging pretrained architectures.
• Experience or familiarity with robotics foundation models, including Vision-Language-Action (VLA) models, or other embodied AI architectures.
• Experience with deployment and optimization on edge computing devices.
• Familiarity with hardware acceleration and model optimization tools.
• Understanding of classical computer vision techniques, including image processing fundamentals.
• Experience in data pipeline management for vision applications.
• Proficiency with version control systems and collaborative development workflows.
• Basic experience working with video streams from cameras, drones, robots, or embedded platforms.

Nice-to-Have

• Experience with model serving frameworks and inference optimization tools.
• Familiarity with MLOps practices and CI/CD pipeline integration.
• Knowledge of Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, and multimodal AI systems.
• Experience with embodied AI, robot learning, imitation learning, or reinforcement learning.
• Knowledge of cloud AI services and edge computing platforms.
• Experience with real-time object tracking algorithms.
• Domain experience in robotics, smart surveillance, OCR, safety detection, or embedded computer vision applications.

Industry: Information Services

Employment Type: Full-Time