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. 

 

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/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:

• 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 and/or Java 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.