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Senior Machine Learning Engineer
1 month ago
The Fitch Group Emerging technology group is seeking a Senior/Lead machine learning engineer to be part of a team that will be dedicated to build and support Generative AI, Machine learning and Data science solutions across the organization.
Key objectives of the Emerging Technology team include:
- 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
The ideal candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science, and will be part of a team that promotes an excellent work culture and provides a good work life balance.
Responsibilities include:
- Working closely with product squads to build, integrate, and deploy GenAI and data science solutions
- Effectively communicating advanced data science/ML concepts in simple language to business stakeholders, always focusing on its applicability to Fitch business
- Developing and deploying machine learning and gen AI solutions to meet enterprise goals and support experimentation and innovation
- Collaborating with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals
- Designing and developing scalable solutions and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements
- Actively participating in maintaining SLAs for Production applications and support
- Creating metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions
- Building with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows
- Using Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporating them into robust data workflows and dynamic systems
Requirements include:
- Strong work experience as a ML engineer or data scientist (5+ years)
- Prior experience developing production quality Python and/or Java code is essential
- High level of proficiency in machine learning and deep learning algorithms such as multi-class classifications, decision trees, support vector machines
- Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization)
- Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM's
- Experience building/enhancing search and information retrieval systems
- 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.
- Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field
- Passionate about the power of data and predictive analytics to drive better business outcomes for customers
- Familiarity with credit ratings agencies, regulations, and data products around the world
- A champion of good code quality and architectural practices
We are building incredible things at Fitch and we invite you to join us on our journey.
For more information please visit our website:
