With over 13,000 employees and operations in over 20 countries, Brunswick is the world leader in recreational marine vessels and propulsion.
Recently named to Forbes list of Best Employers for Diversity, we take equality and work / life balance seriously. With our 16 boat brands, various P&A brands, and world leading propulsion brands, we aim to make the boating experience frictionless for our valued customers.
Autonomous technology solutionsarecritical enablers for recreational marine, alleviating barriers for entry and reducing anxiety in traditionally stressful operational scenarios.
The benefit of autonomous technology is enabling users to confidently operate vessels and focus on pleasurable aspects of boating.
The successful Candidate shall
Design, build, and maintain scalable and reliable data pipelines
Monitor and troubleshoot data pipelines, and resolve data ingestion, transformation, and loading issues
Monitor the deployment of machine learning systems and models
Develop machine learning modelsby selecting and applying appropriate machine learning algorithms and tools
Productionize machine learning model prototypes and integrate them into user-facing software
Developsoftware that enables advanced HMI, rich user interface, ADAS and autonomous user features and consider flexibility for global architecture requirements and internal / external interfaces of the future as well as rapid learning cycles
Key responsibilities
Develop and maintaindata pipelines to feed machine learning models
Integrate machine learning models into software applications
Productionize machine learning prototypes and apply appropriate machine learning algorithms and tools
Classifiers, CNN, Transformers, time series, spectral analysis, GRU, attention spectral models
Train, evaluate, and monitor machine learning systems and models
Data engineering, Data pipeline and MLops management
Strong software background with complex software programming and development
Agile software development best practices and tools - Jira, GitHub, Confluence, automated testing
Required Experience / Skills
Bachelor’s degree incomputer science or related quantitative field
Knowledge of developing data pipelines
In-depth knowledge of widely used machine learning frameworks such as TensorFlow, PyTorch, scikit-learn
Strong grasp of machine learning algorithms, data structures, data modeling, software design
Experience with requirement and issue tracking tools
Strong Critical Thinking and communications skills, verbally and written.
Preferred Experience / Skills
Knowledge of computer vision algorithms, libraries, and tools such as OpenCV
Experience in the deployment of machine learning models and monitoring in-production models
Experience with developing data pipelines on cloud computing platforms such as Amazon Web Services (AWS)
M.S. in computer science, data science, or related quantitative field
Experience with sensors such as sonar, radar, lidar, and cameras
Experience in the marine environment
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