AI/ML Engineer

Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies, including Hive, PySpark, Synapse, or Databricks
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
Secret clearance
Bachelor’s degree

Train, test, deploy, and maintain models that learn from data
Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
Collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world-class solutions to process data and information for near real-time analysis
Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks

Experience with HTML, CSS, and front-end web frameworks
Experience with 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