Machine Learning Engineer (Anti-spoofing ML)

About GeoComply
We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.
Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.
At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.
We are seeking an experienced Machine Learning Engineer to join our strong team of equally enthusiastic individuals. You will play a key role in building and deploying scalable machine learning solutions, leveraging the power of the cloud and big data technologies. This role offers the opportunity to own projects, contribute to technical direction, and work with cutting-edge technologies, potentially including resolving cybersecurity problems by building real-time fraud detection systems and AI agents.

Key Responsibilities

• Design, develop, and maintain robust data and feature pipelines using big data technologies like Spark, Flink, and Delta Lake.
• Build end-to-end machine learning pipelines, encompassing data ingestion, feature engineering, model training, evaluation, and deployment, potentially using tools like MLFlow for tracking.
• Implement and optimize machine learning models for batch/offline training and real-time/streaming inference, with a focus on high performance and low latency, potentially for systems like real-time fraud detection.
• Collaborate with data scientists to understand and implement machine learning algorithms using relevant libraries (e.g., scikit-learn, SparkML, TensorFlow, PyTorch).
• Implement and maintain CI/CD pipelines for machine learning and software components.
• Develop and deploy microservices to serve machine learning models and related functionalities, considering the demands of high-traffic systems.
• Take ownership of assigned tasks, proactively identify potential issues, and propose effective solutions.
• Clearly articulate technical concepts and explain the rationale behind proposed solutions.
• Demonstrate a proactive and "can-do" attitude towards challenges.

Who You Are

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• 2+ years of hands-on experience in a Machine Learning Engineer or similar role.
• Advanced proficiency in programming with Python, with a strong emphasis on writing clean, well-structured, and maintainable code and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, SparkML).
• Strong SQL skills and experience working with both OLAP and OLTP systems.
• Solid understanding of machine learning algorithms and their underlying principles.
• Experience in building end-to-end ML pipelines for both batch and real-time/streaming applications, preferably for high-traffic and low-latency systems.
• Experience with MLOps practices such as model performance monitoring, monitoring feature and concept drift, and explainable techniques (SHAP, LIME, etc.).
• Good verbal and written English communication skills.
• Experience building and deploying data and feature engineering pipelines using Spark and Delta Lake.
• Excellent problem-solving and analytical skills.
• Demonstrated ownership and a proactive approach to work.

Bonus Points

• Experience with AI Agent development and deployment.
• Experience working on applications such as Fraud Detection, Cybersecurity, or Anomaly Detection. 
• Experience with developing and deploying microservices (e.g., using Docker, Kubernetes). Experience with Databricks and Google Cloud Platform (GCP).
• Experience with Infrastructure as Code (IaC) tools.
• Experience with Golang and/or Java programming.

Apply Now!
Interested in joining our team? Send us your resume and a cover letter. We can’t wait to meet you!
Commitment to Diversity and Equity.If you don't tick every box in this job description, please don't rule yourself out. Research suggests that women and other people in underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if this resonates with you, please apply.
Search Firm Representatives Please Read CarefullyWe do not accept unsolicited assistance from search firms for employment opportunities. All CVs or resumes submitted by search firms to any employee at our company without a valid written agreement in place for this position will be considered the sole property of our company. No fee will be paid if a candidate is hired by GeoComply due to an agency referral where no existing agreement exists with the GeoComply Talent Acquisition Team. Where agency agreements are in place, introductions must be through engagement by the GeoComply Talent Acquisition Team.

Why GeoComply?
Joining the GeoComply team means you’ll be part of an award-winning company to work, learn and grow. We are fast-paced, high-impact, and have a can-do team culture.
To be successful in our organization, you need an eager attitude, professionalism, and the confidence to willingly work to prove yourself and your ideas, and earn the trust of the organization.
Here’s why we think you’d love working with us.
We’re working towards something bigWe’ve built a reputation as the global market leader for geolocation compliance solutions for over 10 years. We’re trusted by customers from all over the world, and the next few years will be particularly exciting as we continue to scale across new markets.
Our values aren’t just a buzzwordOur values are the foundation for what we as a company care about most. They signify the commitment we make to each other around how we act and what we stand for. They are our north star as we work together to build a company we’re all proud to be a part of. Learn more, here.
Diversity, equity, and inclusion are at the core of who we areIn collaboration with our team and external partners, we promote DEI in our recruitment and hiring practices; scholarships and financial aid; training and mentorship programs; employee benefits, and more.
Learning is at the heart of our employee experienceAt GeoComply, we foster an environment that empowers every employee to gain the knowledge and abilities needed to perform at their very best and help our organization grow. From a professional development budget to local training opportunities, knowledge-sharing sessions and more, we are continually investing in employee career growth and development.
We believe in being a force for goodWe profoundly care about our impact on the world and strive to make meaningful contributions to the communities we work and live in. Our Impact division focuses on philanthropic and social responsibility initiatives, including supporting our local communities, advancing equality, and harnessing our technology to protect vulnerable groups. Learn more, here.
We care about our teamOur GeoComply team is talented, driven and hard-working, and is known for its positive attitude and energy.  At GeoComply, we take care of our employees with the total package. Team members are generously rewarded with competitive salaries, incentives, and a comprehensive benefits program.
We value in-person collaborationGeoComply culture thrives on a dynamic mix of in-person energy and independent focus and we champion a hybrid work model that blends the energy of in-person collaboration with the flexibility to work from home. Our 3-day in-office policy fosters teamwork and innovation, while also recognizing the importance of individual work styles and needs.
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At GeoComply, we live our value of Act with Integrity. Our workplace is built on mutual respect and inclusion, and we welcome applicants of all backgrounds, experiences, beliefs, and identities. Creating an accessible interview experience for all candidates is important to us. If you have any requests (big or small) throughout our hiring process, please don’t hesitate to let us know so we can do our best to prioritize your needs.
We care about your privacy and want you to be informed about your rights. Please read our Applicant Privacy Notice before applying for the position.