Senior Machine Learning Engineer

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. Are you an expert in development and deployment of AI‑based systems? Do you want to work in a hyper‑growth company and apply your expertise in launching ML/DS systems in life? If yes, the Senior Machine Learning Engineer is the role for you GeoComply’s Data Science team focuses on improving Anti‑fraud system, turning business requirements into DS/ML solutions, developing and deploying best‑in‑class ML/DS solutions. As the Senior Machine Learning Engineer, you will contribute to GeoComply’s success by ensuring continuous development of full‑cycle AI‑based Anti‑Fraud products: continuous training, model evaluation, deployment, real‑time feature stores, automated re‑training process, and more. The ideal candidate for this role is a person with solid engineering principles, building and serving models in Cloud‑based systems, who is self‑sufficient, proactive, and able to work in a dynamic environment. We expect the Senior Machine Learning Engineer to have experience working with CI/CD pipelines, Big data tools, running code refactoring and optimization, containerization, deployment, versioning, and monitoring. You enjoy working in collaborative teams and have excellent interpersonal skills. The Senior Machine Learning Engineer should take responsibility and always see a path forward to success. You should have experience working in short, iterative development cycles and have a great passion for working in fast‑paced development process environments. Key Responsibilities Develop end‑to‑end pipelines with strong understanding of AI lifecycle, cloud platforms, and business problems; Leverage data insights to contribute to the strategic direction of our products, identifying opportunities for new features, improvements, and optimizations. Partner effectively with product, engineering, operations, and other business teams to understand their needs, translate them into analytical requirements, and present findings and recommendations with clarity and impact. Automatization of re‑training models, maintain and build model tracking systems; Monitor model performance and provide recommendations for model performance improvement; Work closely with data engineering and data science team on consulting and defining best coding practice; Write technical documentation and reports to communicate process and results; Work with large amounts of structured and unstructured data. Who You Are You have 8+ years of experience in a product development in data science team; You’re experienced in continuous deployment of predictive models or ML systems in a cloud environment (i.e. AWS: SageMaker, ECS, S3, GCP); Expert‑level proficiency in database technologies (SQL, NoSQL, data warehousing concepts) with the ability to write highly optimized and complex queries; Advanced programming skills in Python or R for data manipulation, statistical analysis, and automation are highly desirable. You have practical experience with main ML frameworks (scikit‑learn, XGBoost) and experience with deep learning frameworks (PyTorch, TensorFlow, MXNet, etc.); You have strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline; You have excellent knowledge of statistics and machine learning basics; You’re experienced with building CI/CD pipelines orchestration (MLflow or similar tools); You’re experienced in distributed storage / distributed compute environments (i.e. Databricks, Spark, PySpark). You are a solutions‑focused problem solver who always sees a path forward to success. You are an exceptional communicator and can build relationships with anyone you work with. You are organized and have fantastic attention to detail, aiming higher and higher each day. You always act with integrity and operate with strong moral principles. You have the ability to work in a fast‑paced environment to support a rapidly growing technology company with multiple moving parts. Bonus Points Experience in online gaming, financial services, or other high‑risk/regulated industries. Deep understanding of specific anti‑fraud techniques, technologies, and industry best practices. Why Join GeoComply Hybrid working mode & Modern office at a prime location in District 1 Professional development budget to support your growth 20 annual leave days, 5 sick leave days Premium health insurance (Bao Viet or Liberty) Social, unemployment, and health insurance contributions based on full salary Competitive salary package, 100% salary during the probation period Attractive bonuses (13th month, business performance, equity plans) Annual salary performance review Free parking Annual company trip & Year‑end party Quarterly team‑building activities In‑office snacks and drinks (snacks, coffee, juice, milk, etc.) International working environment 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 Carefully We 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 big We’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 buzzword Our 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 are In 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 experience At 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 good We 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 team Our 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 collaboration GeoComply 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. - - - - - - - - - - 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. #J-18808-Ljbffr