3+ years of experience in Artificial Intelligence / Machine Learning
Development experience on AWS and AWS SageMaker
Proficiency in Python, Scala, Spark and ML frameworks such as TensorFlow, PyTorch, Keras, scikit-learn
Familiarity with Generative AI, prompt engineering, guardrails, LLM fine-tuning, and VectorDBs for GenAI pipelines
Requirements:
Work on AI/ML initiatives across the entire business, influencing global operations and the digital customer experience
Develop and deploy AI/ML solutions using Generative AI, deep learning, reinforcement learning, and CNNs
Build and maintain production-grade AI systems, GenAI training pipelines, and data infrastructure for scalable AI applications
Present findings and technical concepts to both technical and business audiences and collaborate with cross-functional teams
Job description
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.
