Sr. Developer - AI&ML
Long Term Contract
Atlanta, GA

Qualifications:

• 5 years of work experience in Software Engineering.
• 3 years of work/educational experience in Artificial Intelligence/Machine Learning.
• Experience with Agile Software Development Lifecycles and DevOps/DevSecOps.
• Development experience on AWS, AWS Sagemaker required.
• Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark.
• Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.
• Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.
• Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning.
• Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications.
• Experience training and maintaining large language models.
• Experience with production-grade development, integration, and support.
• Experience and familiarity presenting to technical and business audiences.

Responsibilities:

• A doer by default: You are self-motivated and take pride in building great experiences for users, whether they are employees or customers.
• You are resourceful in finding the data and tools you need to get the job done and have a bias for action.
• Are intensely curious about finding a solution to the pain-points of our passengers throughout the entire travel experience.
• Have a sense of ownership in everything you build, and drive for continuous improvement.
• Partner with cross functional business and technology teams to understand business landscape and drive AI opportunities.
• Provide technical thought-leadership and direction for AI solutions across a wide range of centralized and distributed environments across the landscape.
• Partner with Architecture, Foundations, and Security teams to pave the way for leverage industrialized design patterns.
• Help to define, design and capture data required for measurement of each solution.
• Collaborate frequently to share ideas and gain perspective. Communicates critical information in a clear and timely manner.
• Listens to others. Seeks clarification and confirms shared understanding when communicating.
• Delivering with Quality and Speed.
• Collaborate with business and product owners, understanding the product and business domain to engineer solutions that create a competitive advantage.
• Work within a team of engineers and cross-divisionally to design and build Artificial Intelligence into technical solutions at scale.
• Contribute to the strategy around which frameworks and technologies are leveraged with each solution, and partner with the foundations teams to approve new design patterns.
• Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices.
• 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.
• Mentor junior team-mates to define and implement detailed measurement data, error logging/tracking for all products within our domain.
• Initiate and lead code reviews and continuous improvement efforts.
• Analysis and implementation of Performance/Stability/Reliability initiatives.
• Monitors metrics, problems, trends, and costs, in order to determine solutions, required process changes, etc. that will make the function more efficient.
• Plan, create, and execute automated test cases and load/performance testing.
• Operate with Agile and Cloud Target squads within two-week sprints.