Machine Learning Operations (MLOps) Engineer

Are you passionate about bringing the best of machine learning and DevOps together to create reliable, scalable, and efficient AI systems? Do you thrive on automating machine learning pipelines, deploying models at scale, and ensuring that AI solutions deliver value in production environments? If you’re excited about optimizing the entire machine learning lifecycle—from development to deployment and beyond—then our client has the perfect opportunity for you. We’re looking for an MLOps Engineer (aka The AI Infrastructure Maestro) to design, automate, and manage robust machine learning pipelines that power the next generation of AI-driven products.

As an MLOps Engineer at our client, you’ll be the glue that connects data scientists, machine learning engineers, and operations teams, ensuring that machine learning models are efficiently deployed, monitored, and maintained. You’ll lead efforts to create scalable infrastructure for...

Are you passionate about bringing the best of machine learning and DevOps together to create reliable, scalable, and efficient AI systems? Do you thrive on automating machine learning pipelines, deploying models at scale, and ensuring that AI solutions deliver value in production environments? If you’re excited about optimizing the entire machine learning lifecycle—from development to deployment and beyond—then our client has the perfect opportunity for you. We’re looking for an MLOps Engineer (aka The AI Infrastructure Maestro) to design, automate, and manage robust machine learning pipelines that power the next generation of AI-driven products.

As an MLOps Engineer at our client, you’ll be the glue that connects data scientists, machine learning engineers, and operations teams, ensuring that machine learning models are efficiently deployed, monitored, and maintained. You’ll lead efforts to create scalable infrastructure for...

North Point Defense (NPD) is seeking an experienced Machine Learning Operations (MLOps) Engineer to join its team in Rome, NY.

Responsibilites may include:

Deploy, manage, and optimize ML models to support AI/ML projects
Design and implement automated ML pipelines for training, evaluation, and deployment.

Requirements

Education/Experience Requirements:

Bachelor's or Master's degree in Computer Science, engineering, or related field
Minimum of 3 years’ experience in MLOps, AI/ML, data engineering, or similar role
In-depth knowledge of MLOps frameworks, tools, and technologies such as ONNX, TensorRT, TensorFlowLite
Familiarity with ML models and algorithms and research frameworks including TensorFlow and PyTorch
Proficiency in languages such as Python
Knowledge of container runtime environments such as Docker

Other...