[Hiring] AI / ML Engineer @Veracity

Role Description

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 initiatives. As an 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
• Reinforcement learning
• CNNs

Qualifications

• 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
• Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered for U.S.-based job

Requirements

• Position open to ATL and MSP offices
• 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