Applied AI Engineer

Job Description Applied AI Engineer Location: Cincinnati, OH (On-site, Remote) Job Description Summary The Applied AI Engineer is a hands‑on builder who designs, prototypes, and operationalizes AI and analytics solutions to automate work, sharpen decision‑making, and improve performance. This role works directly with operational leaders, building end‑to‑end proofs of concept, and partners with data engineering to scale solutions for production. Responsibilities AI Solution Development: Design, build, and iterate on AI/ML solutions (forecasting, classification, anomaly detection, NLP, gen AI/LLM workflows) to solve operational problems. Rapid Prototyping & Proof of Concept: Independently build end‑to‑end POCs, including data, modeling, and lightweight infrastructure. Path to Production: Partner with data engineering to harden, scale, and operationalize solutions. Evaluation & Measurement: Define success metrics, design evaluations, and build feedback loops for drift and regression detection. Operational Analytics & Insight: Analyze operational data to identify AI/automation opportunities and actionable insights. Embedded Business Partnership: Work with leadership and frontline operators to translate problems into AI solutions. Data Preparation & Feature Engineering: Prepare datasets and engineer features, including retrieval strategies for LLM systems. Building on Databricks: Develop solutions within Databricks Lakehouse, applying software engineering practices. Adoption, Change & Continuous Improvement: Pilot, refine, and drive adoption of AI tools with user feedback. Responsible AI Practice: Address model limitations, bias, privacy, and human‑in‑the‑loop design. Basic Qualifications Bachelor’s degree in Analytics, Data Science, Computer Science, or related field 4-7 years of experience in analytics, data science, or AI/ML engineering (2+ years deploying ML/AI solutions) Strong proficiency in Python and SQL Hands‑on experience building applied AI/ML solutions (predictive models, NLP, LLM‑based applications) Ability to build end‑to‑end POCs independently Experience partnering with data engineering for production deployment Experience with large datasets on Databricks Ability to translate operational problems into analytical/AI approaches Strong communication skills with non‑technical stakeholders Preferred Qualifications Production experience with generative AI, LLM APIs (e.g., OpenAI, Anthropic), RAG systems, or agentic workflows Familiarity with MLOps (MLflow, model registries, CI/CD for ML, monitoring/observability) Experience designing AI evaluation frameworks (offline benchmarks, online experimentation) Experience in operational, services, or asset‑heavy environments Exposure to predictive modeling, time series analysis, or NLP Familiarity with Databricks Lakehouse Track record of driving AI tool adoption in business operations Ability to work independently and manage multiple concurrent initiatives Compensation $85,000.00 - $100,000.00 Benefits Eligible employees may enroll in health, vision, dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and paid/unpaid time off. Equal Opportunity C&W Services is an Equal Opportunity employer. Accommodations available under the ADAAA by calling View phone number on click.appcast.io or emailing View email address on click.appcast.io. #J-18808-Ljbffr ChatGPT Jobs