Machine Learning Engineer

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FloVision Solutions

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2020

🍽️ Food & Beverage

🏭 Manufacturing

💼 Consulting

💰 $1.1M Seed Round on 2021-11

Food & Beverage • Manufacturing • Consulting

FloVision Solutions is a technology company specializing in artificial intelligence for food production. Their offerings, FloVision Nano and FloVision Pro, focus on yield optimization, quality control, and enhancing staff skills in food processing environments. By integrating modular automated systems into production lines, they provide tools for measuring product quality, assessing compliance with customer specifications, and analyzing staff performance. Their solutions aim to improve efficiency and reduce training time in food processing operations.

📋 Description

• Design, develop, and optimize computer vision models and deep learning capabilities across the product portfolio • Contribute to projects across the company in collaboration with machine learning, software, hardware, product, and data annotation teams • Work across the machine learning lifecycle, from data collection and annotation through experimentation, development, deployment, and monitoring • Build high-quality datasets, strengthen data integrity, validate model results, and ensure production impact • Build and maintain ETL pipelines for structured and unstructured machine learning data • Clean datasets and perform feature engineering • Annotate and review image data throughout the machine learning workflow • Use Python, SQL, and statistical analysis to explore data and identify actionable insights • Train, fine-tune, evaluate, and experiment with deep learning models for computer vision • Own machine learning outcomes from data quality and model performance through deployment and product impact • Improve data quality, labeling practices, and machine learning workflows with the annotation team • Productionize, deploy, and monitor models with machine learning and software engineering teams • Make machine learning processes and results accessible across the company • Make independent technical decisions and drive projects forward autonomously

🎯 Requirements

• Bachelor’s degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience • Three or more years of experience across the machine learning or data science lifecycle, focused on computer vision • Experience applying semantic segmentation to a real-world business or production use case • Strong Python programming skills • Experience with PyTorch or TensorFlow, Jupyter, pandas, NumPy, and Matplotlib • Experience using AI-assisted development tools to improve productivity, quality, and speed • Experience performing statistical analysis and rigorously evaluating machine learning models • At least two years of experience with a major cloud platform such as AWS, GCP, or Azure • Working knowledge of MLOps practices and principles for deploying, monitoring, and maintaining reliable production machine learning systems • Strong analytical, programming, and problem-solving skills • Ability to work in a fast-paced startup environment, iterate quickly, and balance speed with quality standards • Strong communication and collaboration skills for cross-functional teamwork • Ability to work U.S. Central working hours • Comfortable working in active production environments that may be greasy, loud, cold, and physically demanding • Willingness to travel up to 10% of the time, including domestic travel and occasional international travel • Submission of a short 1–2 minute introductory video; applications without a video will not be considered

🏖️ Benefits

• Home Office Stipend • Medical Insurance • Dental Insurance • Vision Insurance • 401(k) Plan • Health Savings Account (HSA) • Comp days when weekend travel is required • Flexible work hours • Flexible work arrangements • Growth opportunities • In-person collaboration opportunities