Director of Cloud Platform Engineering overseeing cloud platform capabilities for critical healthcare services. Leading a large engineering organization with emphasis on automation and secure - by - design architectures.
FA
Hybrid Junior Machine Learning Engineer, Python, Docker, API Development, Cloud Architecture, AWS, AI/ML
Posted last month
About the role
- Junior Machine Learning Engineer developing AI/ML solutions for FactSet in a hybrid setting. Collaborating with teams to enhance data systems and model performance.
Responsibilities
- Build new systems to ingest and enrich data into an ontology.
- Monitor and enhance the accuracy, performance, and observability of our GenAI RAG stack.
- Evaluate new large language models, tools, and AI engineering techniques.
- Improve query planning, optimization, and evaluation infrastructure.
- Partner and collaborate with product development leads to identify technical requirements for future product enhancements.
- Collaborate with teams across the organization to understand their data.
Requirements
- 2 + years software engineering experience, with a significant portion focused on AI/ML solutions in production environments.
- Demonstrated expertise in cloud architecture (AWS) and a range of associated services.
- Working knowledge of Natural Language Processing/Machine Learning/Deep Learning concepts and their applications, with a proven track record of successful model development and deployment.
- Proficiency in Python, Docker, and API development.
- Strong technical writing and presentation skills
- Familiarity with relational databases and data modeling techniques.
- Bachelor’s degree in computer science, computer engineering, or relevant
Benefits
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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