Summary
✨ AI‑Generated
A remote computer vision engineer will design, train, optimize, and deploy AI models for practical applications. The work covers object detection, tracking, pattern recognition, experimentation with model architectures, and applying machine learning techniques to complex real-world challenges.
Highlights
Fully remote full-time engineering role focused on developing and optimizing computer vision algorithms and machine learning models for real-world applications, with opportunities to experiment with different architectures and solve complex AI problems.
Description
Company Description
Solutyics is a technology-focused company dedicated to shaping a world where Data and AI unlock new possibilities for businesses across industries.
The team specializes in AI, Machine Learning, Data Engineering, and Advanced Data Analytics, helping clients solve complex challenges and achieve sustainable growth.
Solutyics emphasizes understanding the unique needs of each client to deliver tailored, high-impact solutions.
Relationships with clients are built on transparency, integrity, and a shared commitment to success, creating a collaborative environment for innovation and long-term partnership.
Role Description
This is a full-time remote role for a Computer Vision Engineer.
The Computer Vision Engineer will design, develop, and optimize computer vision algorithms and models for real-world applications, including object detection, tracking, and pattern recognition.
Day-to-day responsibilities include experimenting with various architectures, training and evaluating models, and integrating solutions into production systems in collaboration with cross-functional teams.
The role also involves data preprocessing, annotation oversight, performance analysis, and continuous improvement of deployed models.
The Computer Vision Engineer will document technical work clearly, participate in code reviews, and stay current with advances in computer vision and related fields.
Qualifications
Candidates should possess strong skills in Computer Vision and Pattern Recognition, with experience building and deploying vision-based solutions.Candidates should possess a solid foundation in Computer Science, including algorithms, data structures, and software engineering best practices.Candidates should possess knowledge in Data Science, including data preprocessing, model evaluation, and working with large datasets.Candidates should possess familiarity with Robotics or related systems where computer vision is applied to perception and control.Proficiency in programming languages commonly used in AI and vision (such as Python or C++), and experience with relevant libraries and frameworks (e.g., OpenCV, PyTorch, TensorFlow).Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field, or equivalent practical experience.Experience with cloud-based development environments, version control (e.g., Git), and collaborative remote work practices.Strong analytical, problem-solving, and communication skills, with the ability to work effectively in diverse, distributed teams.
