Senior ml ops engineer

Ph3Join Euroclear /h3 pEuroclear is a financial services company that specializes in the settlement of securities transactions, as well as the safekeeping and asset servicing of these securities. We are located in Brussels and several major cities in Europe and around the world. We are deeply convinced that diversity of talents, backgrounds and opinions is a key to success, by encouraging engagement, energy and innovation. /p h3Job Description /h3 pWe want to hire an experienced ML Ops Engineer to support advanced analytics and reporting needs. The role is part of the Group Digital Capabilities (GDC) division, within the Analytics, Insights And Reporting (AIR) Tribe. /p ul liOperating and managing the evolution of the Data Analytics Platform (DAP) consisting of a DataLake, the Group Data Warehouse and a new off‑premise Operational Data Store aligned with new market evolutions. /li liKey player in the AI CoE. /li liCentre of Expertise for BI Reporting. /li liProvide project support and expertise to various business lines. /li liHelp build Azure Cloud Data Platform for tomorrow. /li /ul h3Your profile /h3 ul liTrack record of hands‑on experience in the area of AI / ML / Advanced Analytics, with focus on deploying and maintaining AI / ML models and services in production. ul liKeywords: AI / ML application development, testing, serving, monitoring, troubleshooting. /li liEnsuring ML models are reproducible and interpretable. /li liSingle‑handedly packaged and deployed AI/ML services to production. /li liKnowledge of monitor and maintain AI/ML services post‑deployment. /li /ul /li liSoftware Engineering ul li5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit‑learn, xgboost. /li liNice‑to‑haves: ul liData processing libraries and frameworks (pydantic, pandera) /li liWeb frameworks (FastAPI, Flask, …) /li liCLI frameworks (Typer, Click, …) /li liGeneral MLOps tools and frameworks (MLFlow, Azure ML Studio, …) /li liVersion control tools for ML datasets and models (DVC, Azure ML Dataset, …) /li liML monitoring libraries and solutions (NannyML, Evidently AI, …) /li liDistributed processing libraries and frameworks (Ray, Dask, PySpark, …) /li liPipeline‑building and orchestration libraries (such as Metaflow, ZenML, Kedro, Airflow, Dagster, …) /li liGeneral Python development tools (pytest, coverage, tox, mypy, ruff, uv, …) /li /ul /li /ul /li liFamiliarity with different programming paradigms (OOP, FP, …) /li liKnowledge and application of good software design principles in daily practice. /li liAccustomed to good testing practices (unit, integration, end‑to‑end, stress/performance). /li liWriting clear, explicitly typed, documented code. /li liProven ability to turn a messy Jupyter notebook into a production‑grade piece of code. /li liPackaging Python applications and libraries for distribution. /li liProficient GIT usage, able to collaborate with multiple developers on a single repo. /li liGeneral Machine Learning/Data Science ul liGood understanding of Machine Learning algorithms and their applications in NLP. /li liFoundational Data Engineering skills (SQL, PySpark). /li liGrasp of the modern ML Ops framework, ability to identify ML Ops maturity gaps and provide inputs for modernization efforts. /li /ul /li liCloud Technologies ul li2+ years of hands‑on experience with deploying and maintaining applications on at least one major Cloud Platform. /li liAbsolute preference for Azure Cloud. /li liFocus on developing and serving ML applications (batch, streaming, synchronous). /li /ul /li liFamiliarity with Unix/Linux command line tools and scripting (shell, bash). ul liVIP club membership if you have at least once ran `rm -rf` on production data. /li /ul /li /ul h3Non‑technical /h3 ul liTeam player /li liStrong verbal and written communication skills as well as good customer relationship skills to present complex concepts and/or the results of a use case to different audiences (from end users up to division management). /li liExperience of working in large, complex enterprises and have stoically accepted it as your fate. /li liNot allergic to legacy technology and processes, yet are always on the lookout for modernization opportunities. /li liUp‑to‑date with new tools, technologies and approaches within the domain. /li liAble to estimate your short‑term effort with reasonable accuracy and get the work done in the time frame you commit to. /li liSuccessfully swims in the waters of Agile project management techniques (scrum boards, stand‑ups, demos, reviews). /li liAble to promote ML Ops and advocate for its usage and necessity across the organization. /li liMust love mentoring and sharing knowledge. /li liMust love dad jokes. /li /ul h3Your Formal Qualifications Are The Following /h3 ul liUniversity degree in software engineering OR Data Science/Machine Learning/Data Engineering OR a related quantitative field, combined with strong IT skills. /li li5+ years of experience with Python. /li li2+ years of experience using DevOps/CI/CD practices. /li li2+ years of experience in deploying AI solutions to production. /li /ul h3About Us /h3 ul liEmbark on your new adventure at Euroclear, and work at the heart of the global capital markets. /li liWe connect over 2,000 financial institutions across the globe. /li liAs an open and resilient infrastructure, we contribute to the stability of the financial markets. /li liWe help clients cut through complexity, lower costs, and mitigate risks of financial transactions. /li liAt Euroclear, we have the clear ambition to use our key role to facilitate and accelerate a sustainable global financial system. /li /ul h3What We Offer /h3 ul liWork closely with inspiring, supportive and engaged colleagues from more than 80 different countries. /li liPractice your talents in a highly professional international environment. /li liJoin a learning and development environment with an emphasis on knowledge sharing and training. /li liCompetitive salary and comprehensive benefits. /li /ul h3Ways of working /h3 pFind your own optimal balance within our hybrid working model, where you can connect at the office 8 days a month and also benefit from remote working. /p h3Great Place to Work for All /h3 pWe are committed to creating an inclusive culture that celebrates diversity and strives to be a Great Place to Work for All. All qualified applicants will be considered for employment, regardless of any aspect that makes them unique (including race, religion, national origin, gender, sexual orientation, age, marital status, pregnancy, disability, …). If you need any specific accommodation due to disability or any other reason, you can let the recruiter know during your application process. Our values guide how we work together and shape our future: Our mission and values - Euroclear /p /p #J-18808-Ljbffr