Job Title : AI Research Engineer

Location : Pune , India (Onsite - 5 Days a Week)

Experience : 4 to 8 Years

Employment Type : Full-time

Joining Timeline : Immediate to 30 Days Preferred

Role Overview :

- We are looking for a highly skilled AI Research Engineer to join our team in Bangalore.

- The ideal candidate will have strong experience in Deep Learning research and development, with hands-on expertise in diffusion models, multimodal AI systems, and scalable training frameworks.

- In this role, you will work on cutting-edge AI technologies and contribute to the design, development, and deployment of advanced machine learning models.

Key Responsibilities :

- Design, develop, and optimize deep learning models for advanced AI applications.

- Work with diffusion models and generative AI architectures to build innovative solutions.

- Develop and implement multimodal AI systems, integrating vision and language models.

- Build and maintain large-scale data-centric AI workflows, including active learning, pseudo-labeling, and weak supervision.

- Train and deploy models using scalable machine learning frameworks.

- Translate mathematical concepts such as probability, optimization, and information theory into efficient production-level code.

- Collaborate with cross-functional teams including data scientists, ML engineers, and product teams to drive AI innovation.

Required Skills & Qualifications :

- 4 to 8 years of experience in AI/ML research or deep learning development.

- Strong hands-on experience with Diffusion Models (DDPM, LDM, ControlNet).

- Expertise in Multimodal / Vision-Language Models such as CLIP, BLIP-2, LLaVA, or Flamingo.

- Experience with large-scale AI training workflows including active learning, pseudo-labeling, and weak supervision.

- Advanced programming skills in Python with deep learning frameworks such as PyTorch or JAX.

- Experience with scalable training frameworks such as PyTorch Lightning, DeepSpeed, or Ray.

- Strong foundation in mathematics, including probability, optimization, and information theory.

Good to Have :

- Experience with synthetic data generation platforms such as Isaac Sim.

- Familiarity with robotics frameworks including ROS2, Nav2, MoveIt 2, or Open3D.

- Experience with edge AI runtimes such as TensorRT or ONNX Runtime.

- Knowledge of CUDA or C++ for performance optimization.

Why Join Us :

- Work on cutting-edge AI research and generative models.

- Collaborate with a highly skilled AI and engineering team.

- Opportunity to build next-generation AI systems deployed at scale.