- Lead the development of cuttingedge algorithms for realworld problems focusing on large language models (LLMs) and their training and finetuning.
- 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 crossdepartmental 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 customerfacing teams to deliver solutions that meet both technical and commercial objectives.
- Prepare and deliver presentations product demonstrations and results that drive commercial growth.
Requirements
- 5 years of experience building and deploying machine learning models in large distributed systems.
- Handson experience with ML algorithms and deep experience in training finetuning and deploying large language models (LLMs).
- Strong experience with Python and a deep understanding of machine learning frameworks like PyTorch Jax and Scikitlearn.
- Proven track record of developing and deploying deep learning models in commercial products.
- Strong problemsolving skills and a keen eye for detail.
- Excellent communication skills with the ability to convey complex technical concepts to technical an nontechnical 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 crossfunctional teams and collaborating with stakeholders across product sales and marketing.
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 an 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.