Posted:6 hours ago|
Platform:
On-site
Full Time
We are looking for a Senior AI staff Developer to join our client's team at Thane (Maharashtra India).
We are seeking someone with 6-8 years of professional experience in designing, training, and
deploying advanced AI/ML models across domains such as computer vision, natural language
processing, and generative AI. Expertise in Python and PyTorch/TensorFlow is essential, while
experience in MLOps, cloud platforms (AWS/GCP), and edge AI optimization will be a strong
plus.
In this role, you will build and optimize intelligent models for real-time deployment on AR/VR
smart glasses and immersive systems, while collaborating with hardware, design, and product
teams to integrate AI seamlessly into user experiences. Your work will directly shape the
intelligence, scalability, and impact of next-generation products.
Full-Stack Awareness
While your primary focus will be AI, exposure to backend (Flask/FastAPI), cloud infra
(AWS/GCP), and frontend integration (basic React/JS) will help you deliver end-to-end AI
features.
Must haves-
● Deep expertise in Python, PyTorch/TensorFlow, and applied ML.
● Strong experience with computer vision, transformers, and LLM fine-tuning.
● Proficiency in MLOps practices – CI/CD for ML, containerization, orchestration, and cloud
platforms (AWS/GCP).
● Edge AI deployment: compression, pruning, quantization, optimization for real-time
applications.
● Ability to design data pipelines, run experiments, and evaluate performance metrics.
Nice to have-
● Spatial or Scene Understanding: Detection, tracking, segmentation, recognition, and 3D
scene analysis.
● Data Analytics: Handling large-scale sensor data (IoT, IMU, time-series), applying signal
processing, anomaly detection, and predictive modeling.
● Advanced AI Technologies: Hands-on experience with Large Language Models,
Generative AI, and cutting-edge AI innovations.
Bonus point for-
● Research publications in top AI/ML conferences (CVPR, NeurIPS, etc.).
● Contributions to open-source AI frameworks.
● Experience with multimodal AI (vision + speech + text).
● Familiarity with healthcare AI, AR/VR, or edge computing use cases.
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