Lead Artificial Intelligence/Machine Learning Engineer
2 weeks ago
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.
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