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Provation

AI/ML Engineer

Remote

United states

Full Time

16-10-2025

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Skills

Python C# DevOps Docker Kubernetes Monitoring Product Management Sales Research Training Machine Learning PyTorch Scikit-Learn TensorFlow Deep Learning Computer Vision Azure Agile .NET Data Science Artificial Intelligence Large Language Models Microservices NLP

Job Specifications

Job Description

AI/ML Engineer

Job Summary:

At Provation, AI and machine learning are at the core of our innovation and success. We are seeking an experienced AI/ML Engineer who will lead efforts to design, build, and maintain cutting-edge AI-driven solutions that enhance Provation's products. The AI/ML Engineer will be responsible for developing scalable machine learning models, optimizing AI architectures, and ensuring seamless integration of AI solutions across various business functions.

Duties & Responsibilities:

Design, develop, and deploy scalable machine learning models and AI solutions for Provation's products.
Implement best practices in AI/ML model development, including data preprocessing, feature engineering, model training, and optimization.
Work closely with Product Management, Data Science, and Engineering to evaluate, develop, and maintain innovative AI-powered solutions.
Manage and scale data pipelines to support AI/ML workflows, ensuring efficient data availability for training and inference.
Research and implement state-of-the-art AI/ML techniques, including deep learning, NLP, computer vision, and generative AI.
Develop and manage MLOps workflows, ensuring model monitoring, retraining, and governance in production.
Collaborate with DevOps and software engineering teams to deploy AI models in cloud environments including integration of AI/ML models with .NET microservices and Kubernetes
Ensure compliance with security, ethical AI, and regulatory requirements (e.g., HIPAA, GDPR) when working with sensitive data.
Develop and implement methods to measure the accuracy and effectiveness of AI solutions, ensuring continuous improvement and adherence to performance standards.
Participate in Agile development processes, including daily stand-ups, sprint planning, and code reviews.

Job Requirements:

Education & Experience

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent experience.
Proven experience as an AI/ML Engineer, Data Scientist, or related role with a strong focus on developing AI/ML-driven solutions.
Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with generative AI and large language models (LLMs), including their development, deployment, and optimization.
Hands-on experience in building and optimizing deep learning models for NLP, computer vision, or time-series forecasting.
Experience working with cloud-based AI/ML platforms (Azure ML, Azure AI Foundry)
Solid understanding of data structures, algorithms, and distributed computing.
Knowledge of MLOps principles and experience with tools such as MLflow, Kubeflow, or Airflow.
Experience with C# and .NET
Experience deploying AI/ML models in containerized environments (Docker, Kubernetes) is a plus.
Strong understanding of AI ethics, data privacy, and security considerations.

Base pay offered may vary depending on various factors, including, but not limited to: job-related knowledge; skills; experience; and other eligibility factors such as geographic location. The Total Rewards package includes competitive base pay and an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work.

The above statements are intended to describe the general nature and level of work being performed by most people assigned to this job. They are not intended to be an exhaustive list of all duties and responsibilities and requirements.

About Fortive

Fortive is a provider of essential technologies for connected workflow solutions across a range of attractive end-markets. We hold leading positions in advanced healthcare solutions, intelligent operating solutions, and precision technologies. Our company is headquartered in Everett, Washington and employs a team of more than 17,000 research and development, manufacturing, sales, distribution, service, and administrative employees in more than 50 countries around the world.

Our shared purpose is to create essential technology for the people who accelerate progress. Our innovations keep the world moving forward. We work together to accelerate the pace of progress and to make a difference.

About Provation:

Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation's comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation(r) MD, Provation(r) Apex, MD-Reports, Provation(r) endoPRO(r), and Provation(r) MultiCaregiver), anesthesia documentation (

About the Company

Provation is revolutionizing the way clinicians and care teams around the world work together to deliver quality healthcare for all. From pre-procedure patient intake to post-procedure follow-up, and everything in between, Provation's data-driven solutions are proven to improve clinical workflows, staff satisfaction, and the patient experience. As the leading provider of integrated procedure documentation and workflow automation solutions, Provation is trusted globally in more than 5,000 hospitals, ambulatory surgery centers... Know more