AI / ML Lead Engineer

Responsibilities:

• Lead the design and development of cutting-edge AI/ML solutions across NLP, LLM, deep learning, and computer vision.
• Develop and deploy advanced AI solutions focused on Chatbots, NLP systems, and Anomaly Detection models.
• 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.

Skills

Keras, LLM, LLMs, NLP, PyTorch, Python, TensorFlow, large language models, natural language processing