Junior/Mid Computer Vision Engineer - Data & ML Growth

AgileEngine; Baltimore (MD); Hybrid; USD 75,000 - 120,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Junior/Middle Computer Vision Engineer to support high-volume data preparation, model training, and evaluation for an AI team handling large-scale image and video datasets.

You will curate annotation workflows, run training/evaluation jobs, and document results while collaborating with senior engineers on failure-case analysis. Growth path toward applied modeling or MLOps awaits an early-career engineer eager to build hands-on AI experience.

Qualifications

• 1 to 3 years of experience in software engineering, data science, machine learning, or a related field.
• Foundational coding skills in Python.
• Foundational understanding of machine learning concepts and workflows.
• Basic knowledge of computer vision principles (e.g., image processing, object detection basics).
• Foundational familiarity with cloud environments and compute resources.

Responsibilities

• Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality.
• Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently.
• Document training results, maintain ongoing evaluation benchmarks, and track model performance over time.
• Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement.
• Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.

Skills

Python

Machine learning

Data science

Software engineering

Computer vision

English (Upper-intermediate)

Education

Bachelor's degree in Computer Science/Data Science/Engineering/Mathematics

Job description

AgileEngine is seeking a Junior/Middle Computer Vision Engineer to support high-volume data preparation, model training, and evaluation for an AI team handling large-scale image and video datasets.

You will curate annotation workflows, run training/evaluation jobs, and document results while collaborating with senior engineers on failure-case analysis. Growth path toward applied modeling or MLOps awaits an early-career engineer eager to build hands-on AI experience.