As an Engineer supporting Colleague Experience Technology Services, you will develop reporting and analytics solutions leveraging best-in-class vendor products and services to support the analytical needs for Colleague Experience Group (aka H.R.) stakeholders. Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation Integrates AI models into production systems in collaboration with cross-functional teams, ensuring effective integration into existing production systems Maintains strict adherence to model governance, security, and compliance standards Provides guidance and support to junior engineers, fostering professional growth and development within the team Designs and implements AI/machine learning frameworks for data processing, focusing on prompt engineering and generative AI technologies Collaborates with engineers to deliver scalable AI solutions by integrating models that meet both technical and business requirements Translates business requirements into AI-driven technical solutions, ensuring that business needs are converted into actionable models and algorithms Develops reusable Big Data pipelines and AI-based systems, ensuring efficiency and consistency in data processing and model deployment Experiments with and deploys new natural language processing models to classify and analyze business-related text data, conducting research to improve text classification and analysis Creates end-to-end machine learning operations pipelines for scalable model deployment, facilitating seamless deployment, monitoring, and maintenance of AI models Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives `Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark) Knowledge of natural language processing techniques like fuzzy wuzzy and models such as BERT, Transformer models, and their real-world applications 3-5 years experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models Experience in languages such as Python, R, Java, or C++ Experience in building and deploying AI models and pipelines using machine learning operations tools including Classical ML, Generative AI, Prompt Engineering, LangChain and NLU/NLP Experience in machine learning algorithms and experience applying them to real-world problems Experience in continuous integration/continuous deployment pipelines and containerized deployments Experience in building and maintaining data pipelines and extract, transform, and load processes Preferred Qualifications Experience taking models through AI/ML governance, in a highly regulated industry, a plus Salary Range: $123,000.00 to $215,250.00 annually + bonus + benefits The above represents the expected salary range for this job requisition.
