Fortive Corporation (SE)
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.
Pay Range The salary range for this position (in local currency) is 79,300.00 - 147,300.00.
Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. 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.
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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.
Pay Range The salary range for this position (in local currency) is 79,300.00 - 147,300.00.
Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. 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.
#J-18808-Ljbffr