Job Description
About Us: We are a cutting-edge palm-based biometrics company at the forefront of developing innovative solutions for secure and efficient identity verification. Our technology leverages advanced machine learning and computer vision techniques to provide accurate and scalable biometric authentication systems Role Overview: We are seeking a motivated and talented Junior Machine Learning / Computer Vision Engineer to join our team. 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. You will work alongside experienced engineers and receive mentorship while gaining hands-on experience in deploying real-world solutions.
Responsibilities - 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.
Required Skills - 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.
Preferred Skills (Not Mandatory)- Exposure to cloud services like AWS.
- Knowledge of advanced neural network architectures and techniques.
- Familiarity with image preprocessing techniques
Qualifications - 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.
Personal Qualities - 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.
Confidence Gap We understand that confidence gaps and imposter syndrome can discourage potential candidates from applying. If you are excited about this role but don’t meet every qualification listed, we encourage you to apply anyway. We value diverse experiences and perspectives.
About Keyo We are building a company that reflects the world in which we want to live. One where we can enjoy the convenience of biometrics without compromising our privacy or personal freedom. To make this a reality, our technology allows businesses of all kinds to adopt biometric authentication quickly and easily. With Keyo, people are clocking into work, paying for a coffee, and unlocking doors with a wave of their hand. Our team is remote first, by design. Our talented employees work from all over the world because we want Keyo to reflect the people who use it: global citizens who bring their diverse perspectives to solve unique problems.
We are at an exciting juncture and looking for new voices and ideas to continue building our vision for the company. Keyo believes that the things that make us unique are our greatest strengths. We have an inclusive, global, remote-first workplace that comprises people from all different lifestyles, backgrounds, abilities, and nationalities.
Please note: Keyo is undergoing SOC2 compliance and performs background checks, and provides security training to team members.
Equal Employment Opportunity Employer We are proud to be a global team united by diverse perspectives, cultures, and experiences. Our commitment to inclusion and respect extends across every border, embracing the unique contributions that individuals bring from all walks of life and every corner of the world.
We are an equal opportunity employer and welcome everyone, regardless of race, color, religion, gender, gender identity, sexual orientation, age, national origin, disability, veteran status, or any other characteristic that makes you uniquely you. Your story matters, and we value the richness it adds to our shared journey.
We strive to create an environment where every team member—no matter where they are in the world—feels seen, heard, and empowered to succeed. From hiring to development, promotions, and beyond, we are dedicated to ensuring equity and fairness for all.
Together, we are building a global community where collaboration and respect drive innovation and belonging.
Job Tags
Remote job,