Applied AI Engineer

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.
• Audoption, 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.

Qualifications

• 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

Pay

$85,000.00 - $100,000.00

Benefits

• Health, vision, dental insurance
• Flexible spending accounts
• Health savings accounts
• Retirement savings plans
• Life and disability insurance
• Paid/unpaid time off

Equal Opportunity

C&W Services is an Equal Opportunity employer. Accommodations available under the ADAAA by calling 1-888-365-5406 or emailing [email protected].

Job Details

• Location: Cincinnati, Ohio
• Job Type: hybrid or office
• Posted: 3 days ago