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 that will be dedicated to build and support Generative AI, Machine learning and Data science solutions across the organization.
Key Responsibilities:- 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 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 balanceWork closely/as part of the product squads to build, integrate, and deploy GenAI and data science solutions. li>Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch businessDevelop 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 essentialHigh level of proficiency in machine learning and deep learning algorithms such as multi-class classifications, decision trees, support vector machinesStrong 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 systemsExposure/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 fieldPassionate about the power of data and predictive analytics to drive better business outcomes for customersFamiliarity with credit ratings agencies, regulations, and data products around the worldA 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.-
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