AI/ML Engineer

Vaco is hiring a Machine Learning / AI Engineer for a direct hire, hybrid role North of the greater Cincinnati area.

This position offers the opportunity to work on impactful, real-world AI solutions within a logistics-focused environment, collaborating closely with cross-functional teams to drive efficiency and innovation.

What You’ll Do

• Design, train, and deploy machine learning models supporting demand forecasting, routing optimization, and network efficiency

• Integrate AI and ML solutions with existing logistics platforms, sensors, and data pipelines

• Partner with cross-functional teams to translate business challenges into scalable, production-ready solutions

• Build and maintain data processing, feature engineering, and model evaluation pipelines using modern ML frameworks

• Monitor model performance, retrain systems, and drive continuous improvement through feedback loops

• Ensure AI systems adhere to enterprise standards for security, scalability, and data governance

• Stay current on advancements in machine learning, optimization algorithms, and generative AI relevant to logistics and operations

What You’ll Bring

• Bachelor’s degree in Computer Science, Software Engineering, IT, or equivalent practical experience

• 5+ years of experience in ML/AI-focused roles with strong foundations in statistical learning

• Deep expertise in Generative AI, NLP, and simulation techniques applied to operational or logistics challenges

• Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)

• Experience with data engineering tools and platforms such as SQL, Spark, Databricks, and Airflow

• Familiarity with cloud environments (AWS or Azure) and MLOps practices for model deployment and monitoring

• Strong ability to analyze large, complex datasets to uncover actionable insights and automation opportunities

• Proven problem-solving skills with an emphasis on scalability and real-world application

• Hands-on experience applying statistics, data validation, and machine learning algorithms in production environments

• Experience with MLOps and DevOps practices to deploy, monitor, and maintain ML solutions

Why This Role

• Direct-hire opportunity with a stable, forward-thinking organization

• Hybrid work environment offering flexibility

• High-impact role focused on applied AI and operational optimization