Fortive
Senior AI/ML Engineer
Fortive - Minneapolis, Minnesota, United States, 55401
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Overview
Senior Ai/Ml Engineer
At Provation, AI and machine learning are at the core of our innovation and success. We are seeking an experienced Senior 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: Lead the end-to-end development and deployment of advanced AI/ML models to support Provation's product initiatives and platform capabilities. Implement best practices in AI/ML model development, including data preprocessing, feature engineering, model training, and optimization. Work closely with Product Management, Data Scientists, 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. Act as a thought leader by contributing to AI strategy, roadmap development, and innovation planning. Education & Experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent experience. 5+ years of experience in AI/ML development with demonstrable impact on commercial software or products. 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. Deep understanding of MLOps tools and frameworks (MLflow, Kubeflow, Airflow, etc.). 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. Pay Range: The salary range for this position (in local currency) is 100,700.00 - 186,900.00
At Provation, AI and machine learning are at the core of our innovation and success. We are seeking an experienced Senior 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: Lead the end-to-end development and deployment of advanced AI/ML models to support Provation's product initiatives and platform capabilities. Implement best practices in AI/ML model development, including data preprocessing, feature engineering, model training, and optimization. Work closely with Product Management, Data Scientists, 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. Act as a thought leader by contributing to AI strategy, roadmap development, and innovation planning. Education & Experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent experience. 5+ years of experience in AI/ML development with demonstrable impact on commercial software or products. 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. Deep understanding of MLOps tools and frameworks (MLflow, Kubeflow, Airflow, etc.). 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. Pay Range: The salary range for this position (in local currency) is 100,700.00 - 186,900.00