Responsibilities :

- Lead the design and development of cutting-edge AI/ML solutions across NLP, LLM, deep learning, and computer vision.

- Mentor and guide junior engineers and data scientists in best practices and architecture decisions.

- Collaborate with leadership and cross-functional teams (product, design, engineering) to align AI capabilities with business goals.

- Evaluate, implement, and optimise models for scale, performance, and real-world impact.

- Architect reusable AI modules and frameworks that power multiple products.

- Stay ahead of trends by researching advancements in generative AI, LLMs, and multimodal models.

- Oversee data pipeline integrity, governance, and readiness for training and production.

- Contribute to model monitoring, CI/CD for ML, and feedback loops in deployed systems.

- Represent the AI/ML team in technical discussions and reviews.

Requirements :

- Strong experience in Python and frameworks like PyTorch, TensorFlow, and Keras.

- Expertise in natural language processing (NLP) and large language models (LLMs).

- Solid foundation in traditional machine learning, deep learning, and AI architecture patterns.

- Proven experience in leading or architecting end-to-end ML solutions from concept to deployment.

- Comfortable with MLOps tools, model versioning, and production-grade infrastructure.

- Excellent communication skills, with a track record of team leadership and stakeholder collaboration.

- Passion for emerging AI tech and a vision for applying it in real-world applications.