Machine Learning Engineer
New
F
FloVisionFood supply chain
Location: US - Remote, aligned with U.S. Central working hoursFull-TimeMiddle
Salary$90,000 — $115,000 USD
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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 related field, or equivalent practical experience
- Three or more years of experience across the machine learning or data science lifecycle, with a focus on computer vision
- Experience applying semantic segmentation to a real-world business or production use case
- Strong Python programming skills and experience with PyTorch or TensorFlow
- Proficiency with data tools including Jupyter, pandas, NumPy, and Matplotlib
- Experience using AI-assisted development tools
- Experience performing statistical analysis and evaluating machine learning models
- At least two years of experience working with a major cloud platform such as AWS, GCP, or Azure
- Working knowledge of MLOps practices for production systems
- Ability to work in fast-paced startup environments
- Strong analytical, programming, and problem-solving skills
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 to deployment
- Collaborate with the annotation team to improve data quality and labeling practices
- Partner with software engineering teams to productionize and monitor models
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