Worthington Enterprises is looking to embed AI into its operations to make smarter decisions, build faster processes, and deliver more value to customers by transforming challenges into scalable, practical AI applications.
Requirements
- 3-5 years of hands-on experience in AI engineering or data science.
- Strong Python and SQL skills with experience in modern AI/ML frameworks.
- Experience deploying AI solutions to production with MLOps practices.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and Snowflake.
Responsibilities
- Build and deploy AI/ML applications, including intelligent assistants, RAG pipelines, and predictive models.
- Engineer data pipelines and workflows using Snowflake and AWS (Lambda, SageMaker, Bedrock).
- Develop and maintain production-ready AI infrastructure with MLflow, Docker, and Kubernetes.
- Explore emerging technologies in generative AI, vector search, and LLM optimization.
- Partner with business and technical teams to translate opportunities into AI-powered solutions.
Other
- This is a hybrid role with 2 days per week on-site in Columbus, OH, plus occasional travel (~10%) to corporate and manufacturing locations as needed.
- This position is not eligible for relocation assistance or U.S. work sponsorship.
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
- Strong communication, problem-solving, and collaboration skills.
- Bonus: Background in manufacturing, supply chain, or industrial AI applications.
