POSITION
Systems Engineer
Start date & Location
Remote but in FL
REQUIRED SKILLS
Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies
Experience with developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions
Experience in working with API services for serving NLP and analytical models, including Flask or Fast API
Experience with DevOps Tools, including Docker, K8s, or Gitlab CI / CD
Knowledge of AI-enabled systems
Knowledge of AI concepts, including clustering, regression, algorithm selection, and evaluation
Ability to address unbounded technical issues and problem solve
Experience with HTML, CSS, and front-end web frameworks
Experience with MS Copilot Studio, Amazon Web Services (AWS) or Azure AI and ML services, including Bedrock and Sagemaker
Experience with working in enterprise systems
Experience with Data Operations, such as analytics, engineering, or platform
Knowledge of artificial intelligence principles and practices, including deploying ML models into production
Ability to evaluate algorithm performance
Security, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification
7+ years of overall experience in Data Science & AI.
5+ years of experience with ML Engineering and / or ML Ops.
System Engineer • United States