The organization is looking to leverage emerging data technologies and applied AI/ML techniques to drive business growth and address AI harms in the digital marketplace.
Requirements
Strong foundations in Computer Science, Math, Probability, Statistics, Machine Learning, Image Processing, Natural Language Processing (NLP), and Generative AI concepts
Expert in Python, SQL, Unix Scripting and related libraries and frameworks
Experience building end-to-end production grade AI/ML pipelines in cloud (AWS + Databricks)
Exposure to LLMs (OpenAI GPT3.5/4, BERT, BART, Dolly etc)
7+ years of professional working experience in AI/ML engineering projects
Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field
Responsibilities
Analyze business requirements from cross functional teams and translate to technical AI/ML problems
Lead the AI/ML initiatives in designing, developing and deploying AI Solutions
Collaborate with business, product, UI/UX and engineering teams to build automated end-to-end AI/ML pipelines
Research and stay updated on the latest AI/ML technologies and frameworks to drive innovation and improve the organization’s AI/ML capabilities
Advocate for responsible AI practices, ensuring the ethical use of AI/ML and adherence to data privacy and compliance standards
Mentor and guide team members on AI/ML engineering best practices, providing technical leadership and support
Other
Excellent communication and collaboration skills to partner with business and technology
Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field
7+ years of professional working experience in AI/ML engineering projects
Reside in one of the following locations: Arizona, California, Connecticut, Illinois, Massachusetts, Michigan, New Hampshire, New York, Texas, Vermont, Washington D.C.
