Machine Learning / AI Engineer
Vaco is partnering with a growing organization near Monroe, Ohio to hire a
Machine Learning / AI Engineer
for a
direct-hire, hybrid
role.
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
Required Skills:
- 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
- Excellent communication and collaboration skills
About The 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
Desired Skills and Experience:
AI, ML, Machine Learning, Artificial Intelligence, AI/ML, Natural language processing, NLP, Python, AWS, Cloud, Azure, Amazon Web Services, SQL, Spark, Databricks, Airflow, MLOps, TensorFlow, PyTorch, Scikit-learn, Generative AI, Data, AI/ML Engineer, AI Engineer, ML Engineer
Tags & focus areas
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