Fortive

Senior AI/ML Engineer

Fortive

full-time

Posted on:

Location Type: Remote

Location: Remote • Minnesota • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AirflowAzureCloudDockerKubernetesMicroservices.NETPythonPyTorchScikit-LearnTensorflow

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Health insurance
  • Professional development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningAI solutionsdata preprocessingfeature engineeringmodel trainingmodel optimizationdeep learningnatural language processingcomputer visiongenerative AI
Soft skills
collaborationcommunicationproblem-solvingcontinuous improvementagile development
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Artificial IntelligenceMaster’s degree in Machine Learning