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AI – Machine Learning Engineer
Apogee Global RMSAI/Machine Learning Engineer developing AI and computer vision solutions for identity and security at Apogee Global RMS. Collaborating across engineering and business teams to drive innovation.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI/ML models for computer vision and image processing, with a strong focus on model optimization for cloud and mobile environments. Proficient in collaborating with cross-functional teams to deliver scalable AI-driven solutions.
Highest-signal resume keywords
Machine Learning Model DevelopmentComputer Vision TechniquesPython ProgrammingCloud Platform ExperienceDeep Learning Architectures
ATS Keywords
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Hard Skills
AI/ML Model DesignImage ClassificationObject DetectionData Pipeline DevelopmentModel OptimizationFraud DetectionAnomaly DetectionOCR TechnologiesData AugmentationDeep Learning
Soft Skills
Problem-SolvingCollaborationAdaptability
Tools & Technologies
PyTorchTensorFlowOpenCVAWSAzureGCP
Industry Keywords
Data PrivacyCompliance StandardsSynthetic Data GenerationAI ResearchIdentity Technologies
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
- Build real-time image quality assessment, data processing, and intelligent capture solutions.
- Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
- Optimize ML models for cloud and mobile/on-device inference.
- Implement fraud detection, anomaly detection, and security-focused AI capabilities.
- Integrate ML models into production APIs and software platforms.
- Monitor model performance and continuously improve accuracy and scalability.
- Collaborate with engineering, product, and business teams to deliver AI-driven solutions.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
- 3+ years of experience building and deploying machine learning models in production environments.
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience with computer vision libraries (OpenCV) and OCR technologies.
- Strong understanding of deep learning architectures for image and text recognition.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving skills and ability to thrive in a fast-paced environment.
- Preferred Qualifications:
- Experience with model optimization and quantization for mobile deployment.
- Knowledge of synthetic data generation and data augmentation techniques.
- Background in fraud detection, anomaly detection, security, or identity technologies.
- Familiarity with data privacy and compliance standards.
- Experience contributing to open-source projects or AI research.
Benefits
Comp & perks- For any questions (OR) to apply, please contact us at **careers@apogeeglobalrms.com**.