Artificial Intelligence/Machine Learning
Delta Air Lines Inc
Contract Atlanta, Georgia, United States Posted 5 months ago
About Position
Artificial Intelligence/Machine Learning (Contract)
$80.00 / Hourly
Atlanta, Georgia, United States
Artificial Intelligence/Machine Learning
Contract Atlanta, Georgia, United States Posted 5 months ago
Skills
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. · You enjoy working with people and can put yourself in other people's shoes. You're not afraid to ask for help when you need it or help teammates when they need a boost. · You believe in strong opinions weakly held-- you're not afraid to change your opinion in the face of new facts and acknowledge what you don't know. · Are intensely curious about finding a solution to the pain-points of our passengers along the entire travel experience · Have a sense of ownership in everything you build and drive for continuous improvement · Love travel and can deeply empathize with our customers 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 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 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.Description
· 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
· Position open to ATL and MSP offices
Responsibilities
- 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
- Own and support what you build
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