Provation is seeking an experienced AI/ML Engineer to design, build, and maintain cutting-edge AI-driven solutions that enhance Provation’s products, leading efforts to develop scalable machine learning models and optimize AI architectures.
Requirements
- 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-Sharp and .NET
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
Other
- 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.
- We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law.
- Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities.
- Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com
