Machine Learning Ops Engineer

Full-Time (Exempt)

Fully Remote Position

Preferred Locations: Central Time Zone or Eastern Time Zone

Who We Are:

K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we’re the first to produce a digital K-1. Learn more at www.k1x.io

What Are We Looking For?

We are seeking a highly skilled and experienced Machine Learning Ops Engineer to join our dynamic team. As a Machine Learning Ops Engineer, you will develop and deploy machine learning models into production, and manage the lifecycle needs of those models (such as version control, retraining, and eventual retirement). The ideal candidate will have a strong background in machine learning, and be comfortable working with cross-functional teams to deliver high-quality, scalable...

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...