Machine Learning Lead

Job Description

Duties & Responsibilities 

● Drive the vision and innovation for AI and machine learning initiatives. 

● Lead the development of cutting-edge algorithms for real-world problems, focusing on large language models (LLMs) and their training and fine-tuning.

● Stay ahead of industry trends, ensuring the adoption of emerging AI technologies and advancements in LLMs. 

● Own the AI roadmap, ensuring alignment with customer needs and product management strategies. 

● Lead architecture design and implementation of scalable AI and data frameworks, focusing on LLM scalability. 

● Manage cross-departmental collaboration, including software, product, and marketing teams. 

● Implement and optimise scalable processes for managing machine learning projects from conception to deployment. ● Track and report on key milestones, meeting project goals and budgets. 

● Allocate resources effectively and drive the team to achieve project objectives. 

● Lead and develop the Artificial Intelligence Team, fostering a collaborative and innovative work environment. 

● Champion company values and promotes a positive work culture. 

● Partner with product management, sales, and customer-facing teams to deliver solutions that meet both technical and commercial objectives. 

● Prepare and deliver presentations, product demonstrations, and results that drive commercial growth. 

Qualifications & Experience 

● 5+ years of experience building and deploying machine learning models in large, distributed systems. 

● Hands-on experience with ML algorithms and deep experience in training, fine-tuning, and deploying large language models (LLMs). 

● Strong experience with Python and a deep understanding of machine learning frameworks like PyTorch, Jax, and Scikit-learn. 

● Proven track record of developing and deploying deep learning models in commercial products. 

● Strong problem-solving skills and a keen eye for detail. 

● Excellent communication skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders. 

● Experience in mentoring and developing junior engineers in machine learning and software engineering practices. 

● Expertise in designing AI systems that scale to millions of users. 

● Experience in managing cross-functional teams and collaborating with stakeholders across product, sales, and marketing