Lead Business Process Engineer

We are seeking a talented and innovative Machine Learning Engineer to join our team of AI/ML engineers. This role focuses on developing maintaining and enhancing machine learning models. The ideal candidate will have strong experience in computer vision deep learning and deploying ML models in containerized environments.

Position location This position is eligible for a hybrid schedule (TuWedThu In Office) based in Deerfield IL

RESPONSIBLIITIES:

What you will be doing

• Develop and enhance TensorFlowbased image classification models.
• Design and implement training pipelines for model iteration and improvement.
• Analyze model performance and implement techniques to improve accuracy and reduce false positives.
• Maintain and optimize existing ML inference services deployed in Kubernetes.
• Collaborate with Engineers to ensure seamless integration between machine learning components and API services.
• Monitor model performance in production and implement strategies to handle data drift.
• Work with labeled datasets from the review interface to improve model quality.
• Develop data preprocessing pipelines for image normalization and augmentation.
• Implement feedback loops utilizing corrections from subject matter experts and metrics.
• Research stateoftheart computer vision techniques applicable to image recognition.
• Evaluate new approaches for improving identification accuracy and processing efficiency.
• Prototype and implement new features leveraging machine learning capabilities.
• Work with fullstack engineers to integrate ML components into the broader application.
• Partner with subject matter experts to understand domainspecific challenges.
• Document ML approaches model versions and performance metrics.

Qualifications :

BASIC QUALIFICATIONS:

• Masters or Bachelors degree in Computer Science Machine Learning or related field.
• 3 years of experience in developing and deploying machine learning models.
• Strong background in computer vision and image classification.
• Proficiency in Python and machine learning frameworks (TensorFlow required ONNX or PyTorch a plus).
• Experience with containerized ML deployments (Docker Kubernetes).
• Familiarity with REST APIs and microservices architectures.
• Knowledge of image processing techniques and computer vision algorithms.
• Understanding of ML model versioning monitoring and maintenance.

PREFERRED QUALIFICATIONS:

• Experience with image recognition or similar identification systems.
• Background in developing systems that incorporate human feedback for model improvement.
• Familiarity with SQL or similar databases for storing model outputs and metadata.
• Experience with CI/CD pipelines for ML model deployment.

Additional Information :

Additional Information:

Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $90000 USD $143000 USD. Please note that actual salaries may vary within the range or be above or below the range based on factors including but not limited to education training experience professional achievement business need and location. In addition to base salary employees will participate in either an annual bonus plan based on company and individual performance or a rolebased sales incentive plan.

At Fortune Brands we support the overall health and wellness of our associates by offering comprehensive competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates unique needs. This includes robust health plans a marketleading 401(k) program with a company contribution product discounts flexible time off benefits (including halfday summer Fridays per policy) inclusive fertility / adoption benefits and more. We offer numerous Employee Resource Groups to support inclusivity and our associates feeling of belonging at work.

Fortune Brands is a brand innovation and channel leader focused on exciting supercharged categories in the home products security and commercial building markets. Our portfolio of brands includes Moen House of Rohl Aqualisa SpringWell ThermaTru Larson Fiberon Master Lock SentrySafe and Yale residential.

Fortune Brands is headquartered in Deerfield Illinois and trades on the NYSE as FBIN

Equal Employment Opportunity:

FBIN is an equal employment opportunity employer and does not discriminate against any applicant based on race color religion sex gender identity or expression national origin ancestry age disability marital status protected veteran status sexual orientation genetic history or information or any other legally protected characteristic.

Reasonable Accommodations:

FBIN is committed to working with and providing reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application or interview process please contact us at and let us know the nature of your request along with your contact information. Resumes submitted to this email address will not be responded to.