AI and ML Engineer – Mid

AI and ML Engineer – Mid

Requirements

• 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 developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions
• Experience working with API services for serving NLP and analytical models, including Flask or Fast API
• Experience with DevOps Tools, such as Docker, K8s, or Gitlab CI/CD
• Knowledge of AI-enabled systems
• Knowledge of AI concepts, such as clustering, regression, algorithm selection, and evaluation
• Ability to address unbounded technical issues and problem solve
• Public Trust
• Bachelor’s degree

Responsibilities

• 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
• Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
• Solve real-world challenges and define ML strategy

Preferred Qualifications

• Experience with HTML, CSS, and front-end web frameworks
• Experience with Amazon Web Services (AWS) or Azure AI ML Services, such as Bedrock and Sagemaker
• Experience 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/ML, Computer Vision, Deep Learning, or NLP Certification