Direct message the job poster from Nous Infosystems
Location: E14 5GN, London, United Kingdom
Work Mode: On-Site
Seeking a senior/lead data scientist to be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization.
Specific Emerging Technology team objectives are:
- Gen AI/ML technology implementation with business and product owners
- Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML
- enabled components as well as third party AI governance
- Lead and support other enterprise-level AI exploration tools and capabilities
- Provide guidance and support for safe development and deployment of AI
What We Offer:
- This will be a high impact role with significant visibility where the candidate will work on some flagship products
- The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science
- promotes an excellent work culture and is known for providing a good work life balance
- The successful candidate will lead the development and implementation of innovative AI models that can generate high-quality content, optimize processes, and enhance decision-making across various domains.
We’ll Count on You To:
- Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions. Ensure sharing best practices and learnings with other squad members.
- Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models.
- Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning and NLP techniques.
- Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows.
- Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results.
- Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to business
- Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
- Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization.
- Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development.
- Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge.
What You Need to Have:
- Ph.D. or master’s degree in computer science, Data Science, Machine Learning, or a related field.
- A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models.
- Proven track record of developing and deploying successful deep learning and NLP models in real-world applications.
- Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlowor similar.
- Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar.
- Proficiency in machine learning and and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc.
- Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment.
- Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.
- Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.
What Would Make You Stand Out:
- Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers
- Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment
- Familiarity with credit ratings agencies, regulations, and data products around the world
- Outstanding written and verbal communication skills
- A champion of good code quality and architectural practices.
- Strong interpersonal skills and ability to work proactively and as a team player
Seniority level
Seniority level
Mid-Senior level
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Customer ServiceIndustries
IT Services and IT Consulting
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