At a Glance
- Tasks: Lead the design and delivery of innovative AI products using cutting-edge technologies.
- Company: Join a forward-thinking firm focused on AI and data analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Make a significant impact in the AI field while collaborating with top experts.
- Qualifications: PhD in a quantitative field and experience in ML engineering required.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
As a Generative AI Executive Director within our Chief Data and Analytics Office (CDAO) organization, you will play a crucial role in ensuring the smooth operation and optimization of our LLM aided AI products. Our firm-wide team focuses on developing scalable LLM-based products and reusable back-end APIs. You will engage in close collaboration with cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that yield a high Return-on-Investment (RoI). You will ensure that our APIs are built with scalability in mind, allowing them to efficiently handle a large number of requests without compromising performance. By designing APIs with a clear separation of concerns and well-defined interfaces, we enable other teams and developers to leverage our APIs to build their own ML products and solutions, fostering a culture of collaboration and efficiency.
Job Responsibilities
- Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs.
- Bridge scientific research and software engineering, requiring expertise in both domains.
- Collaborate closely with cloud and SRE teams while leading the design and delivery of production architectures.
Required Qualifications, Capabilities, And Skills
- PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics.
- Experience in an individual contributor role in ML engineering.
- Proven track record in building and leading teams of experienced ML engineers/scientists.
- Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms.
- Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.).
- Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results).
- Experience as a 'Responsible Owner' for ML services in enterprise environments.
- Excellent grasp of computer science fundamentals and SDLC best practices.
- Ability to understand business objectives and align ML problem definition.
- Strong communication skills to effectively convey technical information and ideas at all levels, building trust with stakeholders.
Preferred Qualifications, Capabilities, And Skills
- Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray).
- Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints.
- Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models.
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Generative AI - Executive Director in London employer: Gravity Engineering Services Pvt Ltd.
As a leading employer in the tech industry, our company offers an innovative work culture that prioritises collaboration and creativity, particularly within our Chief Data and Analytics Office. Employees benefit from extensive growth opportunities, including access to cutting-edge AI technologies and the chance to work alongside top-tier professionals in a dynamic environment. Located in a vibrant tech hub, we provide a supportive atmosphere that encourages continuous learning and professional development, making it an ideal place for those seeking meaningful and rewarding careers in generative AI.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
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