AI Engineer - build scaled AI solution including Gen AI
Experience with Gen AI/ AI techniques, Experience building and deploying AI solutions on AWS, In depth knowledge of AWS services and other products available to build, deploy and monitor Gen AI solutions
We are seeking a highly skilled Sr. AI Software Engineer Airlines AWS Data Architect to join our team as a key contributor in our data As AI Software Engineer , you will work on initiatives across the entire business; initiatives range from our complex global operation to the digital customer experience. We're looking for someone who is passionate about developing solutions for real-world, large-scale problems using Artificial Intelligence techniques including Generative AI, deep learning, machine learning, reinforecement learning, and CNNs. Airlines.
Technical Skills:
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
Position open to ATL and MSP offices
Grow clients use of AI within customer and employee facing experiences
o Partner with cross functional business and technology teams to understand business landscape and drive AI opportunities.
o Provide technical thought-leadership and direction for AI solutions across a wide range of centralized and distributed environments across the client landscape.
o Partner with Architecture, Foundations, and Security teams to pave the way for client leverage industrialized design patterns
o Help to define, design and capture data required for measurement of each solution
o 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
o Collaborate with business and product owners, understanding the product and business domain to engineer solutions that create a competitive advantage
o Work within a team of engineers and cross-divisionally to design and build Artificial Intelligence into technical solutions at scale
o 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
o Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices
o Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
o Design, Develop, Monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems
o Incorporate security standards, test-driven development, and pipeline deployment automation to achieve robust reliability and scale
o Mentor junior team-mates to define and implement detailed measurement data, error logging/tracking for all products within our domain
o Initiate and lead code reviews and continuous improvement efforts
o Analysis and implementation of Performance/Stability/Reliability initiatives
o Monitors metrics, problems, trends, and costs, in order to determine solutions, required process changes, etc. that will make the function more efficient
o Plan, create, and execute automated test cases and load/performance testing
o Operate with Agile and Cloud Target squads within two-week sprints
o Own and support what you build
o Production issue triage, management, and prevention with a focus on continuous improvement
o Develop an AI first mindset and help democratize AI
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