Hybrid Junior Machine Learning Engineer, Python, Docker, API Development, Cloud Architecture, AWS, AI/ML

Posted 5 days ago

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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

Junior Machine Learning Engineer, Python, Docker, API Development, Cloud Architecture, AWS, AI/ML

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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