AI / ML Engineer with LLM Contract Role (USA or Canada) Location :Remote 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
• 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.
• 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.