Senior ML Ops AWS Engineer

Job description

Would you like to work with bleeding edge technologies in a state-of-the-art data environment, while building a fintech from scratch and make the world a safer and better place at the same time?

We offer you, our next Machine Learning OPS AWS Engineer, a very cool technical playground with all the latest technologies you need to create and accelerate our innovative, state-of-the-art transaction monitoring platform. A must-have to create the most effective detection and new insights, that will help banks, public sector and law enforcement to collectively defeat financial crime.

Your daily activities include:

  • Building a bleeding edge, world-wide unique MLOps platform for massive amounts of data at a scale
  • A truly unique technical challenge
  • Develop reliable, scalable and performant CICD pipeline for model and data pipelines
  • Develop best-in-class model and data lineage solutions that make even complex ML pipelines meticulously reproducible
  • Conceptualize and implement sophisticated model observability and controllability solutions
  • Ensure scalability of Data Science efforts by developing our feature store
  • Combine managed solutions, customizations and open source tools to help us build a platform that meets our special requirements
  • Work together with AWS experts to push the boundaries of what’s out there

Job requirements

  • Python
  • AWS (SageMaker, CodeBuild, CodePipeline, CloudFormation, Lambda, EventBridge)
  • Terraform
  • Docker
  • Experience with implementing production-grade CICD pipelines for data processing or model pipelines
  • Experience with architecting complex, data-intensive, cloud-native (ideally AWS) solutions

Nice-to-haves:

  • Apache Spark
  • AWS Glue
  • Knowledge of / experience with MLOps principles and tools (model & data lineage, observability, feature stores, model registries…)
  • Experience implementing Machine Learning models and knowledge of the modelling lifecycle
  • Experience in the financial industry

About TMNL

At TMNL we are creating a top-notch detection and transaction monitoring company to defeat financial crimes such as money laundering and the financing of terrorism. We are forming an energetic and inspired team, where the curious, talented minds in anti-money laundering (AML) and financial crime detection, data science, data engineering, advanced analytics, and artificial intelligence, join forces to make this possible.

Our key values are an important part of our culture: responsibility to society, constant curiosity, courageous choices, learning and growing together, are particularly important to us. Just like a strong fundament based on ethics, embracement of all backgrounds, personalities and opinions, honesty and vulnerability in our interactions and constant experimentation. This way, we will be able to detect signals and patterns of financial crimes at an unprecedented level. We aim to achieve an edge and quality in our work, and also a long-lasting societal change by finding and exposing the smartest bad actors in the financial world.


On offer

At TMNL you will experience the freshness, the freedom, the mandate and the pace forward of a scale-up. We’re based on a healthy growing ground, as we have the full dedication and support of the five largest Dutch banks from the start.  We love our work and we also enjoy a healthy work-life balance and an excellent benefit package including:

  • Excellent salary, 13th month and holiday allowance 
  • 28 Holidays
  • Hybrid working
  • Pension
  • Personal Learning and Development Budget
  • In 2023 we are moving to an office in Amsterdam with excellent public transport
  • A highly innovative, personal, energetic and driven culture

Interested?

Apply and meet Lucien Baghiuc, CTO at TMNL. Also, you will meet other Machine Learning experts in 2 interviews and an online assessment. Just click the apply button or contact Minke Apontoweil (Head of Recruitment) at minke.apontoweil@tmnl.nl / +31 638727726 for further information