Fitch Group is seeking a principal data scientist to solve business and technical problems related to Generative AI, Machine learning, Deep Learning and Data science solutions across the organization.
Requirements
- Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlow or 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 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.
- 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 Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc.
- Strong understanding of data science concepts and experience with data science tools and technologies
Responsibilities
- Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions.
- 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, NLP and computer vision 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 Fitch business
- Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
Other
- 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.
- 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.
- Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location
