Machine Learning Engineer

THIS IS A W2 ROLE , AN VISA IS FINE Job Title: Machine Learning Engineer Location: Cincinnati, OH (Onsite) Duration: Long Term Job Summary We are seeking a Machine Learning Engineer with years of experience in designing, building, and deploying enterprise-scale Machine Learning solutions. The ideal candidate will have deep expertise in Python, TensorFlow/PyTorch, MLOps, Cloud Platforms (AWS/Azure/GCP), Docker, and Kubernetes, along with experience in architecting scalable ML pipelines and production AI systems. Top 3 Required Skills • Python & Machine Learning • TensorFlow / PyTorch • MLOps with AWS/Azure/GCP Required Skills • Python (NumPy, Pandas, Scikit-learn) • Machine Learning • TensorFlow • PyTorch • MLOps • AWS / Azure / GCP • ML Pipelines • Model Deployment & Monitoring • CI/CD • Git / Version Control • Feature Engineering • Model Evaluation & Optimization • ML System Design • Performance Tuning Preferred Skills • MLflow • Amazon SageMaker • Azure Machine Learning • Docker • Kubernetes • Apache Spark • Ray • Large Language Models (LLMs) • Deep Learning • Transformers • Vector Databases • ML Governance • Technical Leadership / Mentoring Key Responsibilities • Design, develop, deploy, and maintain enterprise-scale ML models and end-to-end ML pipelines. • Perform data preparation, feature engineering, model training, evaluation, and optimization. • Deploy and monitor ML models in production, including model drift detection and automated retraining. • Build scalable ML systems using AWS, Azure, or GCP. • Drive MLOps initiatives, CI/CD automation, governance, and model lifecycle management. • Collaborate with Data Engineering, DevOps, and business stakeholders. • Mentor engineers and provide technical leadership on AI/ML initiatives. • Evaluate and adopt emerging AI/ML technologies and best practices.