Machine Learning Engineer at ComplyAdvantage

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Pipelines, Entity Resolution, Python, Collaboration, Cloud Platforms, Model Performance Monitoring, Feature Engineering, APIs, Event Streams, Backend Development, Distributed Systems, Observability, Kubernetes, Docker, Kafka

Industry

Software Development

Description

ComplyAdvantage Technology At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources. In our Entity Resolution Team we build and maintain data pipelines and services to perform Entity Resolution at scale. We use various ML and DS techniques to curate entities by ensuring their consistency and uniqueness across millions of data points. We define success via metrics representing our clients’ experience around minimising risk while also controlling operational costs. What you will be doing As a Machine Learning Engineer, you will Build/train and productionize machine learning models for your squad Build capabilities to monitor model performance and feature drift Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value Collaborate with other software engineers in a cross functional team to design and implement intelligent services Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models Our Tech Stack: Our technology stack is designed to run on public cloud architectures, notably AWS and GCP We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend We make substantial use of modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases We use modern observability solutions (Grafana) and deploy our code using ArgoCD We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers. About you: Experience maintaining and scaling machine learning-powered applications in production environments. Experience building scalable backend applications (preferably with Python). A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers. Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows). Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers. Nice to have: Experience working with PySpark or other distributed data processing frameworks. Background in building data-intensive applications or distributed systems using map-reduce style architectures. Familiarity with event-driven or microservice architectures. About ComplyAdvantage: We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers. We have five global hubs in New York, London, Lisbon, Singapore and Cluj-Napoca. Since 2014, we have raised over $100 million in funding and are backed by Goldman Sachs, Ontario Teachers, Index Ventures, Balderton Capital and a16z. At ComplyAdvantage diversity fuels our growth and our commitment to inclusion across race, gender, age, religion, identity and experience drives us forward every day. We encourage everyone to apply and will consider every application fairly. We will handle your information in accordance with our Privacy Policy. For further information, please click here.

Responsibilities

As a Machine Learning Engineer, you will build, train, and productionize machine learning models while integrating them into data pipelines. You will also collaborate with cross-functional teams to design and implement intelligent services.