Salary
💰 $77,200 - $160,800 per year
Tech Stack
AndroidIoTPythonPyTorchScikit-LearnTensorflow
About the role
- Develop, train, evaluate, and deploy machine learning models focused on computer vision and predictive analytics.
- Optimize AI/ML model performance on specialized Android-based IoT devices and embedded systems.
- Collaborate cross-functionally with engineering, data science, compliance, and product teams to integrate AI models into production workflows.
- Evaluate new AI/ML technologies and industry trends to enhance business capabilities and product innovation.
- Implement and validate explainable and interpretable AI methodologies for healthcare regulatory compliance (SOC 2, HIPAA).
- Document technical designs, decisions, and model performance metrics to meet compliance and audit requirements.
- Participate in the design and continuous improvement of AI-driven solutions ensuring privacy, security, and scalability.
- Engage in regular knowledge sharing, continuous learning, and mentoring within the technical team.
Requirements
- Bachelor's degree in Computer Science, Data Science, or related field & 0+ years of work experience
- Strong proficiency in Python and popular ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
- Experience with computer vision techniques and frameworks (e.g., YOLO, OpenCV)
- Familiarity with deploying ML models on edge devices or embedded hardware, especially Android-based platforms
- bonus eligible
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningcomputer visionpredictive analyticsPythonTensorFlowPyTorchscikit-learnYOLOOpenCVAI model deployment
Soft skills
collaborationknowledge sharingcontinuous learningmentoring
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data Science