Sr. Architect - SRARCH

MAX VENDOR RATE: $75/hr. -- Onsite: Cincinnati Machine Learning Engineer (Senior Level) 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.