Machine Learning Engineer (AI, Computer Vision)

TL;DR

Machine Learning Engineer (AI, Computer Vision): Building and optimizing AI-driven machine learning models for infrastructure intelligence, focusing on object detection, classification, and predictive analytics. Focus on optimizing deep learning models for efficiency and scalability in production, developing large-scale data pipelines, and applying advanced ML techniques to forecast urban challenges in real-time.

Location: Remote (United States) or Belgrade Office.

Company

hirify.global is pioneering AI-driven infrastructure intelligence, transforming municipal fleets into mobile urban sensors to create living digital twins that provide real-time insights for cities.

What you will do

• Collaborate with cross-functional teams, including product managers, software developers, and domain experts.
• Research and experiment with state-of-the-art Machine Learning tools and techniques.
• Train and deploy machine learning models for object detection and classification in images and videos.
• Optimize deep learning models for efficiency and scalability in production.
• Design and implement predictive models to analyze trends, patterns, and anomalies.
• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

Requirements

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.
• 5+ years of experience as a Computer Vision Engineer.
• 10+ years in software development and machine learning.
• Strong knowledge of machine learning concepts and algorithms.
• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).
• Familiarity with predictive analytics tools and knowledge of cloud platforms (AWS) for deploying and managing machine learning models.
• Experience with MLOps practices.
• Proficiency in spoken and written English.

Culture & Benefits

• Endless learning and development opportunities from a highly diverse and talented peer group.
• Options for medical, dental, and vision coverage for US employees and dependents.
• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA) for US employees.
• 401(k) with 3% company matching for US employees.
• Unlimited PTO and profit sharing.