Sr. Developer - AI&ML

Overview

Every year, nearly 200 million travelers trust our client to get them where they're going. Take your career to new heights by working for this longstanding leader in air travel that services more worldwide destinations than any other airline.

We are looking for a Sr. AI&ML Developer to join our team for a contract, hybrid in Atlanta, GA.

Contract Duration: 1 year

• 5+ years of work experience in Software Engineering
• 3+ years of work/educational experience in Artificial Intelligence/Machine Learning
• Expertise with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning

• Experience with Agile Software Development Life cycles and Dev Ops/Dev Sec Ops
• Experience with one or more general purpose programming languages including but not limited to:
  Python, R, Scala, Spark
• Development experience on AWS, AWS Sagemaker, AWS Gen AI stack including Bedrock, Guardrails and observability & monitoring required
• Experience with Agentic AI platforms and frameworks, MCP and A2A protocols
• Experience working with Vector
  
  DBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications
• Experience with one or more of the following:
  Natural Language Processing, sentiment analysis, classification, pattern recognition.
• Development experience with AI frameworks such as Tensor Flow, Microsoft CNTK, scikit, Keras.
• Experience with production-grade development, integration and support

• Daily Responsibilities — Provide technical thought-leadership and direction for AI solutions across a wide range of centralized and distributed environments across the Delta landscape.
• Partner with Architecture, Foundations, and Security teams to pave the way for Delta leverage industrialized design patterns
• Help to define, design and capture data required for measurement of each solution
• Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
• Design, Develop, Monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems
• Incorporate security standards, test-driven development, and pipeline deployment automation to achieve robust reliability and scale

Posted By: VMS Sourcing