Trident Consulting
Machine Learning Engineer (Senior Level)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Machine Learning Engineer (Senior Level)" in Cincinnati, OH, with a 12+ years experience requirement. Pay is $50/hour on W2. Key skills include Python, TensorFlow, MLOps, and cloud platforms (AWS/Azure/GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
-
🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ML (Machine Learning) #AI (Artificial Intelligence) #Consulting #TensorFlow #Data Engineering #Version Control #Cybersecurity #Automation #Security #Model Evaluation #Transformers #Monitoring #Databases #Deep Learning #Leadership #SageMaker #GCP (Google Cloud Platform) #Azure #MLflow #Cloud #Python #Pandas #Spark (Apache Spark) #AWS (Amazon Web Services) #Docker #Scala #DevOps #PyTorch #NumPy #Kubernetes
Role description
Trident Consulting is seeking a "Machine Learning Engineer (Senior Level)" for one of our clients. A global leader in business and technology services.
Role : Machine Learning Engineer (Senior Level)
Location : Cincinnati, OH Onsite
Type: Only W2
Experience: 12+ years only
Rate: $50 / Hour on W2
JD:
Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/GCP, Docker, Kubernetes
Required Skills
• Strong Python expertise with NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience building and deploying ML solutions on AWS, Azure, or GCP.
• Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
• Strong understanding of ML system design, performance optimization, and monitoring.
Preferred Skills
• Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
• Knowledge of Docker, Kubernetes, Spark, or Ray.
• Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
• Prior experience leading ML projects or mentoring teams.
Key Responsibilities
• Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
• Perform data preparation, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor models in production, including model drift detection and retraining.
• Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
• Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
• Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.
About Trident Consulting
Trident Consulting is an award-winning staffing and consulting firm headquartered in San Ramon, CA. Since 2005, we’ve partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services.
We specialize in contract, contract-to-hire, and direct hire placements, supporting roles across IT, data & analytics, cloud, cybersecurity, finance & accounting, HR, operations, and more. With a strong focus on hard-to-fill and niche positions, our global recruiting engine enables us to deliver speed, quality, and scale.
Trident Consulting is seeking a "Machine Learning Engineer (Senior Level)" for one of our clients. A global leader in business and technology services.
Role : Machine Learning Engineer (Senior Level)
Location : Cincinnati, OH Onsite
Type: Only W2
Experience: 12+ years only
Rate: $50 / Hour on W2
JD:
Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/GCP, Docker, Kubernetes
Required Skills
• Strong Python expertise with NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience building and deploying ML solutions on AWS, Azure, or GCP.
• Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
• Strong understanding of ML system design, performance optimization, and monitoring.
Preferred Skills
• Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
• Knowledge of Docker, Kubernetes, Spark, or Ray.
• Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
• Prior experience leading ML projects or mentoring teams.
Key Responsibilities
• Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
• Perform data preparation, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor models in production, including model drift detection and retraining.
• Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
• Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
• Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.
About Trident Consulting
Trident Consulting is an award-winning staffing and consulting firm headquartered in San Ramon, CA. Since 2005, we’ve partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services.
We specialize in contract, contract-to-hire, and direct hire placements, supporting roles across IT, data & analytics, cloud, cybersecurity, finance & accounting, HR, operations, and more. With a strong focus on hard-to-fill and niche positions, our global recruiting engine enables us to deliver speed, quality, and scale.
