The Opportunity

We’re seeking exceptional, Machine Learning Engineering experts to join our specialized teams working on facial recognition, robust liveness detection, and comprehensive ID processing and validation. If you’re passionate about solving complex, real-world challenges with cutting-edge machine learning, we want you on our team.

About the Role

As a senior Machine Learning Engineer at Incode, you will be responsible for designing, developing, and deploying deep learning models that drive our industry-leading products. You will also build robust end-to-end ML pipelines and optimize models for performance and cost efficiency in production environments.

Key Responsibilities

• Design, build, and maintain scalable and reusable code for web applications using modern web technologies. 
• Collaborate with designers and backend engineers to translate UI/UX designs into responsive, interactive applications. 
• Optimize web applications for speed, scalability, and cross-browser compatibility. 
• Develop and maintain integration with backend services, ensuring a seamless user experience. 
• Troubleshoot and resolve issues across the development and production environments. 
• Implement best practices for web security, ensuring application integrity and user data protection. 
• Participate in code reviews and contribute to team discussions on improving development processes and standards. 
• Keep up-to-date with the latest industry trends, frameworks, and best practices. 

 

Your Profile

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience). 
• Strong proficiency in front-end languages and frameworks such as HTML, CSS, JavaScript, TypeScript and React, Angular, or Vue. 
• Experience with backend technologies and RESTful APIs is a plus. 
• Expertise in using Git for version control not using GUI, including branching strategies and code review processes. 
• Familiarity with Continuous Integration and Continuous Deployment pipelines 
• Solid understanding of responsive design and cross-browser compatibility. 
• Knowledge of web performance optimization and debugging tools. 
• Excellent problem-solving skills and attention to detail. 
• Excellent English communication skills.  
• Strong teamwork skills, with the ability to work effectively in a collaborative environment. 
• Familiarity with Agile/Scrum development processes and tools like Jira or Notion. 

Nice to have: 

 

Experience with server-side languages and frameworks such as Node.js, Ruby, or Python. 

• Experience with A11Y (accessibility) focused websites. 
• Knowledge of cloud-based services like AWS, Azure, or Google Cloud. 
• Familiarity with DevOps practices and tools, such as Docker, Jenkins, or Kubernetes. 
• Understanding of accessibility standards and best practices (e.g., WCAG). 
• Basic undersating of WASM (Web Assembly) is a really big plus