Senior Machine Learning Engineer

Bellevue, WA, United States

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Company Description

G2 has a large, valued, and diverse global client base and is the established leader in e‐commerce merchant risk and compliance intelligence and services. G2 solutions help acquirers, ISOs, PSPs, e-com marketplaces, ad platforms, and other members of the payments value chain take on the appropriate level of risk in their merchant portfolios while protecting against brand damage, illegal activity, and noncompliance assessments.

G2 has a welcoming and energetic environment that encourages collaboration and innovation while consistently exploring new technologies and tools to be agile. This environment gives their people the opportunity to hone current skills and build new capabilities while discovering their genius.
 

    Job Description

    Key responsibilities

    • Responsible for designing, training, optimizing, and deploying machine learning models
    • Collaborate with cross-functional teams to deploy these models in production environments and continuously monitor and improve their effectiveness

    Critical skills

    • Experience with building and deploying machine learning models
    • Experience with data management, data, and building pipelines
    • Experience with AWS, Snowflake, Databricks or similar technologies
    • Deep expertise in at least one area of Machine Learning and AI
    • Excellent proficiency in Python, working with various libraries (such as NumPy, Pandas, and Flask), and creating clean, well-structured, and maintainable code.
    • Skilled at integrating Python with databases, APIs, and other technologies.
    • Proficient with version control systems like Git, and experienced in DevOps practices such as continuous integration and continuous delivery (CI/CD), along with tools like Kubernetes or Jenkins
    • Strong analytical thinking and problem-solving skills
    • Demonstrated ability in solving complex technical challenges, ensuring alignment with business goals, and delivering projects on time
    • Exceptional communication and collaboration skills, with a proven ability to engage and influence both technical and non-technical stakeholders

    Nice to have:

    • A strong understanding of security, compliance and privacy on Data Lakehouse and enterprise applications
    • Experience with multimodal AI systems
    • Strong track record of delivering impactful machine learning solutions in production environments
    • Experience managing projects from initial architectural design through to full production implementation, with a focus on delivering scalable, high-performance solutions

    Qualifications

    Qualifications

    • At least 8 years of relevant experience or a combination of work experience and advanced education, with a Bachelor's degree in Computer Science or related field, or a Master's/PhD plus 4+ years of experience

    Additional Information

    Physical demands

    • None

    This position is a fantastic opportunity to work for a fast-growing company. We offer an annual bonus along with a comprehensive benefits package including medical, dental, vision, LTD, Paid Time Off and 401(k) savings plan.

    Compensation: Up to $150,000 annually 

     #LI-Remote

    G2 Risk Solutions is an equal employment opportunity employer and strives to comply with all laws prohibiting discrimination based upon, as applicable, actual or perceived race, color, creed, religion (including religious dress, grooming practices and protective hairstyles), sex, sexual orientation, gender identity or gender expression, pregnancy, marital/domestic partner status, national origin, alienage or citizenship status, primary language, immigration status, military and veteran status (including whether honorably discharged or not), intern or volunteer status, status as a victim of domestic violence, sexual assault, or stalking, ancestry, age, physical or mental disability, AIDS, HIV and Hepatitis C status, medical condition, including cancer and genetic predisposition information or characteristics (or those of a family member), or any other category protected by federal, state or local laws.

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    Tags: Agile APIs AWS CI/CD Computer Science Databricks Data management DevOps Flask Git Jenkins Kubernetes Machine Learning ML models NumPy Pandas PhD Pipelines Privacy Python Security Snowflake

    Perks/benefits: Career development Health care Salary bonus

    Regions: Remote/Anywhere North America
    Country: United States

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