Senior Machine Learning Engineer
4 weeks ago
The Fitch Group Emerging technology group is seeking a Senior/Lead Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning, and Data Science solutions across the organization.
Key Objectives:
- Implement Gen AI/ML technology with business and product owners.
- Develop Emerging Tech Governance function covering policies, guidelines, and processes to govern AI/ML-enabled components and third-party AI governance.
- Lead and support enterprise-level AI exploration tools and capabilities.
- Provide guidance and support for safe development and deployment of AI.
- 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.
- Work closely with product squads to build, integrate, and deploy GenAI and data science solutions.
- Effectively communicate advanced data science/ML concepts in simple language to business stakeholders, 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.
- Design and develop 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.
- 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 fine-tuning LLMs.
- 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.
Fitch is a leading provider of credit ratings and research. We are looking for a talented Senior/Lead Machine Learning Engineer to join our Emerging Technology group. The successful candidate will be part of a team dedicated to building and supporting Generative AI, Machine Learning, and Data Science solutions across the organization. The role will involve implementing Gen AI/ML technology with business and product owners, developing Emerging Tech Governance function, and leading and supporting enterprise-level AI exploration tools and capabilities. 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. The ideal candidate will have strong work experience as a ML engineer or data scientist, prior experience developing production quality Python and/or Java code, and high level of proficiency in machine learning and deep learning algorithms. The candidate should also have strong adherence to software and ML development fundamentals, prior experience working on building Gen AI frameworks, and experience building/enhancing search and information retrieval systems. Additionally, the candidate should have exposure/experience in containerization technologies and knowledge of popular Cloud computing vendor infrastructure & services. A Master's degree or above in Machine Learning/Data Science, Computer Science, Applied Mathematics, or otherwise research-based field is also required. The successful candidate will be passionate about the power of data and predictive analytics to drive better business outcomes for customers, familiar with credit ratings agencies, regulations, and data products around the world, and a champion of good code quality and architectural practices. We are looking for a talented Senior/Lead Machine Learning Engineer to join our Emerging Technology group. The successful candidate will be part of a team dedicated to building and supporting Generative AI, Machine Learning, and Data Science solutions across the organization. The role will involve implementing Gen AI/ML technology with business and product owners, developing Emerging Tech Governance function, and leading and supporting enterprise-level AI exploration tools and capabilities. 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. The ideal candidate will have strong work experience as a ML engineer or data scientist, prior experience developing production quality Python and/or Java code, and high level of proficiency in machine learning and deep learning algorithms. The candidate should also have strong adherence to software and ML development fundamentals, prior experience working on building Gen AI frameworks, and experience building/enhancing search and information retrieval systems. Additionally, the candidate should have exposure/experience in containerization technologies and knowledge of popular Cloud computing vendor infrastructure & services. A Master's degree or above in Machine Learning/Data Science, Computer Science, Applied Mathematics, or otherwise research-based field is also required. The successful candidate will be passionate about the power of data and predictive analytics to drive better business outcomes for customers, familiar with credit ratings agencies, regulations, and data products around the world, and a champion of good code quality and architectural practices.
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