Lead Data Scientist - Artificial Intelligence/Machine Learning (7-12 yrs)

About the Role :

We are hiring a Lead Data Scientist for our client, a cutting-edge US-based startup revolutionizing manufacturing through AI. This is a unique opportunity to drive multi-modal AI and large language model (LLM) innovations while architecting advanced solutions for real-world, resource-constrained environments.

Key Responsibilities :

- AI Architecture : Design and develop advanced multi-modal AI systems tailored to manufacturing use cases.

- LLM Innovations : Fine-tune large language models to enhance their performance and adaptability in industrial applications.

- Federated Learning : Implement and optimize federated learning techniques for decentralized, secure data processing.

- Real-Time Optimization : Create AI solutions that function efficiently in real-time and resource-limited environments.

- Computer Vision Applications : Leverage computer vision techniques to solve complex manufacturing challenges.

- Research & Development : Stay at the forefront of AI by publishing papers and contributing to the global AI community (preferred).

- Collaboration : Work closely with cross-functional teams to translate AI innovations into impactful business solutions.

- 7+ years of experience in AI/ML, with a proven track record of delivering industrial AI solutions.

- Expertise in computer vision is required.

- Strong experience in LLM fine-tuning, federated learning, and multi-modal AI systems.

- Demonstrated ability to optimize AI for real-time, resource-constrained environments.

- Published research papers in AI/ML are a strong advantage.

- Exceptional problem-solving skills with a focus on innovation and practical application.

- A self-starter mindset with the ability to work in a fast-paced, remote-first startup environment.

Why Join?

- Be a key player in transforming the manufacturing industry with state-of-the-art AI.

- Work with a globally distributed team at the forefront of AI/ML innovation.

- Enjoy the flexibility of a remote role with opportunities to solve complex, impactful challenges.