Opportunity at CAI Stack – Hiring for Data Scientist (Deep Learning)- (Generative AI Platform)

Overview

Dear Candidates,

I hope you're doing well.
I’m reaching out to share an exciting opportunity at CAI for the role of Deep Learning. We’re looking for someone with hands-on experience in time-series forecasting, recommendation systems, and large-scale ML pipelines. Based on your background, I believe this could be a great fit.

About CAI:
CAI enables enterprises to build and scale AI solutions using cutting-edge Generative AI, Deep Learning, and Computer Vision technologies. Our product suite—including AgentAI, Model Manager, and AgentOps—offers a full-stack platform for creating, deploying, and managing AI-powered applications.

Key Responsibilities:

Design, develop, and optimize deep learning models for forecasting (demand, inventory, revenue, etc.)

Build recommendation systems (collaborative, content-based, hybrid)

Develop scalable training and inference pipelines using PyTorch, TensorFlow, or JAX

Work with structured/unstructured data (logs, user interactions, time-series, etc.)

Apply advanced techniques (Transformers, RNNs, GNNs, attention mechanisms)

Train, fine-tune, and optimize models for large-scale datasets

Collaborate with data engineers and product teams on data pipelines and preprocessing workflows

Stay updated on the latest in Transformers, Diffusion Models, LLMs, and Multimodal AI

Implement and experiment with cutting-edge architectures (CNNs, RNNs, Vision Transformers, GANs, etc.)

Optimize models for cloud/edge deployment (TensorRT, ONNX, quantization, etc.)

Contribute to internal AI frameworks like AgentAI, Model Manager, and AgentOps

Required Skills & Qualifications:

2+ years of deep learning experience

Strong knowledge of ML fundamentals and optimization techniques

Expertise in PyTorch, TensorFlow, or JAX

Experience in computer vision or generative models (GANs, Diffusion, LLMs)

Proficiency in Python and tools like NumPy, OpenCV, HuggingFace

Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps is a plus

Experience in deploying and scaling models in production

Strong problem-solving skills and adaptability in a fast-paced startup

Good to Have:

Exposure to distributed data systems (Spark, Dask, Ray)

Understanding of multimodal AI (vision + language)

Experience with Docker/Kubernetes

Knowledge of vector databases, RAG, or real-time inference

Contributions to open-source or research publications

Why Join Us?

Work on cutting-edge AI with real-world enterprise impact

Join a collaborative, research-driven team

Help build a full-stack AI platform redefining Generative AI and Deep Learning

Competitive compensation and strong growth opportunities

If this sounds aligned with your interests, I’d love to connect and share more details. Feel free to share your updated CV or let me know a good time for a quick chat.

Looking forward to hearing from you!

Thanks,
Prashanta Singh(HRBP)
Mob: 9811577984