RemotevilleRemote Machine Learning Engineer Job in United States FloVision Solutions
Machine Learning Engineer FloVision Solutions
$ -
Computer VisionData ScienceDeep LearningGoogle Cloud PlatformIn-Depth AnalysisNumpyPandasPattern RecognitionStatistical Data Analysis
Mid-level (3-4 years) -
United States
Bringing AI to Food Processors to Increase Yield, QA and Staff Skills
10+ employees
AIMachine LearningFoodSaaS
Role
Who you are
- Bachelor's degree in Computer Science Engineering Mathematics or related field
- Three years of experience in the ML lifecycle with focus on data science and computer vision
- Two years of experience with a cloud provider like AWS GCP or Azure
- Experience with semantic segmentation in real business use cases
- Competence in statistical data analysis and machine learning techniques
- Proficiency with analytical tools such as Jupyter Pandas NumPy Matplotlib
- Strong understanding of the machine learning lifecycle
- Ability to thrive in a collaborative environment and communicate confidently with team
Desirables
- Experience with MLOps platforms
- Familiarity with labeling platforms
- Strong programming in Python or C++
- Hands-on deep learning application development
What the job involves
- Design, build, and optimize computer vision applications
- Validate results ensuring data integrity
- Collaborate with data annotation team for high-quality datasets
- Experiment with state-of-the-art ML infrastructure and models
- Shape product roadmaps and engineering culture as an early employee
Application process
- Fill out application form
- Initial pre-recorded interview
- Technical assessment
Company
Company mission
FloVision Solutions is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning assisted production processes to reduce waste, improve QA and improve staff skills, using proprietary hardware and software to solve customer problems.Company benefits
- Remote work opportunities
- Travel for in-person work 1-3 times per year
- Opportunity to shape product roadmaps
- Inclusive workplace
Company values
- Innovation
- Efficiency
- Sustainability
- Diversity