ML Support/ML Ops Team Lead (Belgrade)
Belgrade, Serbia
Incode
Incode offers the world's most advanced identity verification & authentication system. Power a world of trust with simple, secure & fast identity experiences.We are a leading digital identity company that believes in a future where customers can perform any transaction without friction. We enable banks, fintech, retailers, marketplaces, healthcare systems, government agencies, and many others to provide more secure and delightful experiences to their customers.
Through our flagship suite, Incode Omni, we offer an end-to-end omnichannel identity platform that helps businesses address all of their identity needs, from digital onboarding and know-your-customer (KYC) to omnichannel authentication and more.
We’re in the process of rapidly scaling our global but close-knit team and we’re looking for leaders who are curious, driven and excited by ownership!
The Opportunity
Incode is seeking ML Support/ML Ops Team Lead to join our Machine Learning team.
We are building world-class solutions for facial biometrics, document analysis, and risk assessment.
You will be working in an experienced, hard-working, and open-minded team of great engineers.
We are looking for curious, driven, and hard-working candidates who want to be part of a culture of innovation and creativity that will revolutionize biometrics.
Responsibilities:
- Lead a team that builds and maintains the ML infrastructure and works on the deployment process of the ML components.
- Collaborate with data science and engineering teams to integrate and validate computer vision solutions end-to-end.
- Deliver enduring value in terms of software and modeling artifacts.
Requirements:
- 5+ years of experience in ML/MLOps. Worked on several comprehensive industry-level projects (it should not be a part of your academic program).
- 1+ years of team-leading experience.
- Experience with Cloud (AWS) and on-premise (bare metal) administration.
- Fluency in Python. Ability to write clear and maintainable code compliant with PEP 8.
- Comprehensive knowledge of C/C++.
- Creativity and curiosity for solving highly complex problems
- Fluent in English
- Experience in applying machine learning & computer vision to resource-constrained devices (such as mobile phones).
- Experience in one of the following fields: face recognition and anti-spoofing, document processing and validation, OCR
- Meaningful equity
- Competitive salary
- Travel – yearly sprints
- Benefit allowance for health insurance, life insurance or pension contribution
- Open vacation policy
- Flexible working hours
- Working as part of a global business with a diverse team
- Opportunity to grow from the ground up with a well funded early-stage start-up
- Working closely with passionate and supportive team members
- Customer centric and impactful products
- Working as part of a bright, passionate, and diverse team
- Simplicity
- Quality
- Bias for action
- Integrity
- Empathy
- Courage
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Vision Engineering FinTech Machine Learning ML infrastructure MLOps OCR Python
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Startup environment
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