Machine Learning Engineer
New
F
FloVisionFood Tech / AI
Source API remote eligibility restrictions: United States, U.S. Central working hoursFull-TimeMiddle
Salary90,000 - 115,000 USD per year
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Job Details
- Experience
- Three or more years of experience across the machine learning or data science lifecycle
- Required Skills
- PythonSQLCloud ComputingETLPyTorchTensorflowDeep LearningMLOpsComputer Vision
Requirements
- Bachelor’s degree in computer science, engineering, mathematics, or equivalent practical experience.
- 3+ years of experience across the machine learning or data science lifecycle.
- Strong focus on computer vision and experience applying semantic segmentation to real-world business use cases.
- Strong Python programming skills.
- Proficiency with libraries such as PyTorch, TensorFlow, Jupyter, pandas, NumPy, and Matplotlib.
- Experience using AI-assisted development tools.
- Experience performing statistical analysis and model evaluation.
- At least 2 years of experience with a major cloud platform (AWS, GCP, or Azure).
- Working knowledge of MLOps practices for production deployment and monitoring.
- Ability to travel (up to 10%) for site visits, data collection, and team meetups.
Responsibilities
- Build and maintain ETL pipelines that prepare structured and unstructured data for machine learning applications.
- Clean datasets and perform feature engineering to support model development.
- Annotate and review image data throughout the machine learning workflow.
- Use Python, SQL, and statistical analysis to explore data and uncover actionable insights.
- Train, fine-tune, evaluate, and experiment with deep learning models, primarily for computer vision applications.
- Own machine learning outcomes end to end - from data quality and model performance to deployment and measurable product impact.
- Collaborate with the annotation team to improve data quality, labeling practices, and machine learning workflows.
- Partner with machine learning and software engineering teams to productionize, deploy, and monitor models.
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