Azure Engineer designing and building secure Azure environments for various clients. Implementing Azure architecture and collaborating with teams to deliver cloud solutions.
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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