Staff Machine Learning Engineer, Associate Director

Principal AI Engineer, Director

The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a Principal Machine learning or AI Engineer 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. The position could be based out of our Chicago, NY or London offices.

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 Fitch products
• The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science
• Fitch promotes an excellent work culture and is known for providing a good work life balance

We’ll Count on You To:

• Work experience as a ML or AI engineer (5+ years) with solid software engineering foundations and experience (10+ years)
• 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.
• Design and spearhead the development of Gen AI and MLOps platforms, applications, and solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance.
• Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business
• Develop and deploy machine learning and gen AI solutions to meet enterprise goals and support experimentation and innovation.
• Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
• Designs and develops scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements.
• Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions
• Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.
• Use 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 incorporate them into robust data workflows and dynamic systems

What You Need to Have:

• Work experience as a ML or AI engineer (5+ years)
• Prior experience developing production quality Python