Junior CV/ML Engineer, Keyo

• This is an excellent opportunity for someone with foundational knowledge in machine learning, computer vision, and related technologies to grow their skills and contribute to impactful projects in the biometrics domain
• 2+ years of experience in machine learning, computer vision, or software development
• Proficiency in Python and relevant ML/CV libraries (e.g., PyTorch, OpenCV)
• Demonstrated ability to learn and adapt to new tools and technologies quickly
• Proficiency in Python programming
• Foundational understanding of machine learning and computer vision concepts
• Experience with deep learning frameworks like PyTorch or TensorFlow
• Basic knowledge of RESTful API development, preferably using Flask
• Familiarity with Docker for application containerization
• Understanding of Git for version control
• Experience working with relational databases, preferably PostgreSQL
• Strong problem-solving skills and a willingness to tackle challenging tasks
• Excellent communication and teamwork skills
• A growth mindset and a passion for learning and development
• Attention to detail and commitment to delivering high-quality work

Desirable

• We are seeking a motivated and talented Junior Machine Learning / Computer Vision Engineer to join our team
• You will work alongside experienced engineers and receive mentorship while gaining hands-on experience in deploying real-world solutions
• Support the team in troubleshooting and optimizing ML pipelines for scalability and efficiency
• Review and Label Biometric Data, analyse the issues and work on fixing them
• Collaborate with the team to develop and deploy machine learning models and computer vision algorithms for biometric authentication
• Assist in building and maintaining RESTful APIs using Flask
• Contribute to Dockerizing applications and managing containerized deployments
• Work with PostgreSQL databases to store and retrieve data efficiently
• Utilize Git for version control and collaborate on codebases within a team
• Experiment with deep learning frameworks like PyTorch to enhance model performance