Senior Machine Learning Engineer

Senior / Lead Machine Learning Engineer

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. 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 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.
• 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 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 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:

• Strong work experience as a ML engineer or data scientist (5+ years) Strong work experience as a ML engineer or data scientist (5+ years)
• Prior experience developing production quality Python code is essential
• High level of proficiency in machine learning and 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

What Would Make You Stand Out:

• Passionate about the power of data 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

Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.

We are building incredible things at Fitch and we invite you to join us on our journey.

For more information please visit our websites:  

www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com | www.CreditSights.com

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

FOR NEW YORK ROLES ONLY: Expected base pay salary range for this role is $160,000 - $180,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors.  Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

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