Senior Machine Learning Engineer

🕒 September 24

🇧🇬 Bulgaria – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 20%

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Finom

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

Finom is a fintech company offering comprehensive financial services for SMEs, freelancers, and companies. The platform provides tools for invoicing, expense management, and easy online account opening with added benefits like cashback and international IBAN accounts. Finom ensures data security through partnerships with banks like SolarisBank and Treezor, making it a fast and reliable service for business financial management.

📋 Description

• Develop full-stack machine learning models, including binary classification and regression, for financial-crime detection and prevention during transaction processing and client onboarding • Gather requirements, prototype, and deploy models in production • Own and evolve the Dynamic Risk Score (DRS) across all markets, scoring the full client base daily • Manage transaction rules with ML-driven detection and optimize performance and alert volumes • Establish continuous monitoring of model and rule performance in production • Develop the champion-challenger framework to keep the best-performing model live • Participate in infrastructure development for ML model operationalization and inter-service interactions • Deploy, serve, monitor, and improve production models on a small team

🎯 Requirements

• At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist • Production deployment experience, including API services such as FastAPI • Strong SQL and Python skills • Experience with cloud data platforms such as Databricks • Strong architectural skills; ability to design and improve infrastructure serving models of varying complexity • Experience with model monitoring and champion-challenger / A-B evaluation in production • Quantitative education in math, engineering, economics, or computer science • Full working proficiency in English • Exposure to graph modeling or foundation models/embeddings is a plus • Critical, analytical thinker; proactive, result-driven, and comfortable working with little supervision in a start-up setting

🏖️ Benefits

• Continuous personal and professional development resources and opportunities • Flexibility to travel and work remotely or in a hybrid model across Europe • Stock Options Program available to every team member • Constant support and care within a modern, friendly, and eco-conscious corporate culture • Work & Swim Program: one month in a corporate apartment in Cyprus

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