Machine Learning Engineer
Role details
Job location
Tech stack
Job description
- Innovate & Optimize - Develop and refine state-of-the-art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing and validation.
- Production-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed models.
- Research & Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production-grade solutions.
- Data Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows.
- Collaborate & Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode's production environment.
- Mentorship & Leadership - Provide technical guidance, share best practices, and contribute to building a culture of innovation and continuous learning., * Elite Team & Technology - Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI.
- Ownership & Autonomy - Operate with the freedom to innovate, test, and deploy your ideas end-to-end.
- Global Impact - Your models will power secure, frictionless identity verification experiences across continents.
Aspects of our Culture:
- High performance
- Freedom & responsibility
- Context, not control
- Highly aligned, loosely coupled
- Continuous Feedback
- Promotions & Development
- Learn more about Life at Incode !
Benefits & Perks:
- Flexible Working Hours & Workplace
- Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know-we'll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode's application, recruitment, and hiring processes.
Requirements
- 5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Demonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI).
- Specialized expertise in at least one of the following areas:
- Proven ability to design and maintain end-to-end ML pipelines.
- Track record of research contributions or publications in deep learning and computer vision.
- Excellent communication and collaboration skills across cross-functional teams.
- Passion for mentoring talent and thriving in both long-term research and rapid iteration cycles., * Deep curiosity and technical excellence in AI and computer vision.
- Builder mindset with a drive to deliver real-world impact through applied research.
- Strong analytical thinking balanced by practical execution.
- Collaborative spirit and ability to simplify complex ideas for diverse audiences.
- Commitment to innovation, scalability, and continuous improvement.