Data Fullstack Engineer - WomanManNon-binary

The Data Engineering team is building up and it needs you! At Filigran, we’d rather design AI solutions and put them into our products to generate value than boast about theoretical achievements in blog posts. To be as close to the products as possible, we decided to create a team where designing models with Machine Learning and managing data workflows are part of the daily tasks. As a Data Fullstack Engineer, you will be working under the direct supervision of the Vice President in charge of Data Engineering, taking part in the two missions of the team:

Data Research and Engineering

Design, implement, and help to deploy meaningful models (ranging from AI to simple statistics) to ease the life of our users. An example: enrich our text extraction capabilities with Named Entity Recognition, allowing our users to extract more CTI related information from the significant amount of files they operate on their OpenCTI platform.

Key Responsibilities:

1. Technological watch: looking for what is done in other fields and the state of the art to know what’s possible. You’re not afraid of reading scientific papers!
2. PoC & prototyping: once a scope is defined, prove if there is value to pursue a given initiative from the idea to a simple MVP.
3. Product-oriented mindset: you will not be the only person responsible for putting your models live, but you should understand the entire chain of value to suggest and facilitate the downstream usage.

Data Operations

We already have data assets and they need to be maintained. That could be the automation of the retraining of a model or the monitoring of its performance throughout its lifecycle and even the growth of our Enterprise Data Platform.

Key Responsibilities:

1. Software Engineering: our products are open source and we have a culture of build instead of buy.
2. Code quality: through pair reviews and collaboration, we want our software to be reliable and automated as much as possible.

What Can You Get from the Position:

1. The opportunity to lead an end-to-end data project from inception to production.
2. Set a foot in the conjunction of cyber security, a thriving and meaningful sector, and AI, another thriving and meaningful sector.
3. An environment built around a full remote culture based on autonomy and trust.

Key Skills:

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala.

Employment Type: Full-Time

Experience: years

Vacancy: 1

Yearly Salary: 60000 - 70000