Software Engineer – ML Platform

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    Company NameVeriff
    Company TypePrivate
    Job TypeFull-Time
    Salary RangeMarket Competitive
    LocationTallinn, Harjumaa, Estonia
    QualificationsNone / No Formal Education
    Experience5 Year+

    Job Overview

    Veriff is seeking a Software Engineer – ML Platform to contribute to the development and enhancement of their machine learning platform. This role involves working with advanced technology to build a safer and more secure world through identity verification for pioneers in fintech, crypto, gaming, and mobility sectors.

    Company Overview

    Veriff is a global leader in identity verification, offering advanced technology and expertise to digital companies. Headquartered in digital-first Estonia with hubs across Europe, the US, and LatAm, Veriff provides comprehensive ID coverage from over 230 countries and territories. Backed by major investors like Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, Veriff is dedicated to building trust and security in the digital world.

    Quick Details

    • Salary Range: Market Competitive
    • Job Type: Full-time
    • Qualifications: None / Open to all applicants
    • Experience: 5 Year+

    Key Responsibilities

    • Design, develop, and maintain scalable machine learning platforms and infrastructure.
    • Implement robust MLOps practices for model deployment, monitoring, and lifecycle management.
    • Collaborate with data scientists and product teams to integrate ML solutions into production.
    • Optimize ML models and pipelines for performance, efficiency, and reliability.
    • Research and apply new ML technologies and best practices to enhance the platform.
    • Ensure the security and integrity of identity verification processes through ML.

    Requirements

    • Proven experience as a Software Engineer with a focus on ML platforms or MLOps.
    • Strong programming skills in languages such as Python, Java, or Go.
    • Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
    • Familiarity with ML frameworks (TensorFlow, PyTorch) and data processing tools.
    • Understanding of distributed systems, data pipelines, and database technologies.
    • Excellent problem-solving skills and ability to work in a fast-paced environment.

    Benefits

    • Opportunity to work with cutting-edge identity verification technology.
    • Be part of a global company with a strong mission and investor backing.
    • Professional development and growth opportunities in a dynamic field.
    • Collaborative and innovative work environment across international hubs.
    • Contribution to building a safer and more secure digital world.
    • Competitive compensation and comprehensive benefits package.

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