Vaco by Highspring
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
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