Company: Skylark Labs
Location: Pune, Maharashtra, India (In office)

? Job Description
? 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.
Profi

📌 Machine Learning (Pune)
🏢 SkyLark Labs
📍 Pune