AI/ML Engineer
Job in
Monroe, Butler County, Ohio, 45099, USA
Listed on 2025-12-27
Listing for:
Vaco by Highspring
Full Time
position Listed on 2025-12-27
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
Job Description & How to Apply Below
This range is provided by Vaco by Highspring. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Machine Learning / AI EngineerVaco 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
- 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 (Tensor Flow, 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
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
- AI
- ML
- Machine Learning
- Artificial Intelligence
- AI/ML
- Natural language processing
- NLP
- Python
- AWS
- Cloud
- Azure
- Amazon Web Services
- SQL
- Spark
- Databricks
- Airflow
- MLOps
- Tensor Flow
- Py Torch
- Scikit-learn
- Generative AI
- Data
- AI/ML Engineer
- AI Engineer
- ML Engineer
- Medical insurance
- Vision insurance
- 401(k)
Monroe, OH
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