ML Support/ML Ops Team Lead

REIMAGINE TRUST

Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.

Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming and more, by reducing fraud and transforming human interactions with data, products, and services.

We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!

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 

Advantage:

• 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

Benefits & Perks:

• Meaningful Equity
• Flexible Working Hours & Workplace
• Open Vacation Policy
• Wellness Program
• International Travel Opportunities
• Additional benefits package according to location (401k, medical insurance, etc.)

8 Aspects of our Culture:

• Values are what we value
• High performance
• Freedom & responsibility
• Context, not control
• Highly aligned, loosely coupled
• Continuous Feedback
• Pay Top of Market
• Promotions & Development