- Design and Develop Custom Machine Learning Models: Lead the end-to-end development of sophisticated ML models tailored to the company's unique needs, focusing on performance, scalability, and robustness.

- Innovate with Large Language Models (LLMs) and Generative AI: Spearhead the application and enhancement of LLMs and Generative AI technologies, exploring new possibilities and driving advancements in AI.

- Collaborate Across Teams: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI models seamlessly into the company's cloud platform.

- Drive Technical Excellence: Ensure the highest standards of model accuracy, efficiency, and deployment by implementing state-of-the-art techniques in model training, fine-tuning, and optimization.

Position Title Model/ML Engineer :

- Contribute to AI Research: Stay at the cutting edge of AI research by exploring new methodologies and technologies. Translate the latest advancements in AI research into practical, high-performing models that solve real-world challenges.

- Mentor and Lead: Guide junior engineers and collaborate with peers to foster a culture of innovation and continuous improvement within the FCS Labs.

- Shape the Future of AI: Your work will directly impact the development and evolution of AI platforms, helping to redefine industry standards and set new benchmarks in AI computing.

Requirements :

- Advanced Expertise in Machine Learning: Extensive experience in developing, fine-tuning, and deploying machine learning models, with a strong focus on LLMs and Generative AI.

- Research Contributions: Published research in Machine Learning or AI is a plus, showcasing your ability to contribute to and apply the latest research.

- Technical Mastery: Proficient in programming languages such as Python and experienced with ML frameworks (e. g., TensorFlow, PyTorch). Deep understanding of model training, fine-tuning, and evaluation.

- Problem-Solving Skills: Demonstrated ability to solve complex problems in a fast-paced, collaborative environment. Experience in optimizing model performance and scaling solutions.

- Leadership and Collaboration: Proven experience in leading technical projects, mentoring junior engineers, and working effectively in cross-functional teams.

- Education: Master's or Ph. D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Ongoing professional development in AI/ML domains is expected.