Joining the Data Team, as an MLOps Engineer, reporting to the Head of Data and working closely with Cyrille, the DevOps lead, and Damien, the Data engineering lead, you will:

• Take ownership of the deployment and monitoring of data products, notably AI-based systems

• Improve reliability, quality, and time-to-market of our suite of data products

• Take ownership and responsibility for the high availability of the data and ML infrastructure

• Understand costs and propose optimisation strategies

• Ensure that systems are safe and secure against cybersecurity threats

• Partner with development teams to improve services through rigorous testing and release procedures

• Participate in system design, data and ML platform management, and capacity planning

• Perform root cause analysis for production errors

At Implicity, you will have a weekly meeting with your manager to help you succeed in your mission, and continuously improve your skills. Each team works with quarterly OKR, to be crystal clear, fair and honest with your targets.

The annual appraisal is shared exchange moment, focused on your development.

Our technical stack:

• Languages: Python, Java, Typescript

• Encapsulation technology: Docker, Kubernetes

• Big Data tools: Spark, Elastic Map Reduce

• Data pipeline: Glue

• Real time or streaming: Kafka, Beam

• Cloud: AWS, Terraform

• Database: MongoDB, Maria DB, PostgreSQL

• CI/CD: Gitlab

• Analytics: DBT

• Methodology: Agility (Scrum), Lean management

🥉 To be considered for this position, the following skills have to be obvious on your education / experiences:

• Education : Master / Engineer / PhD

• Extensive knowledge of Python and SQL

• Knowing how to design and implement efficient and scalable data pipelines, in interaction with micro-services (using Docker)

• Experience administering and deploying development CI/CD tools such as Git, Jira, GitLab

• Experience with container orchestration services, especially Kubernetes

• Experience with cloud computing providers ideally AWS

• Experience in running Infrastructure as code ideally with Terraform

• Experience with monitoring with tools such as Datadog or Grafana

• Familiarity with agile software development

• Good knowledge on machine learning & statistics (mainly on Python)

• Fluent in English (French practice is a plus)

🥈 In addition, here are some important basics to succeed in this position:

• Excellent communication, interpersonal and networking skills: you love to work in a team

• Autonomy and curiosity to develop skills in new technologies

• You have Leadership capacity

• Self-driven, able to work independently as well as on cross-functional teams

• Pro-active and problem-solving attitude, very strong prioritization skills

• You love to share your knowledge and have a natural propensity to increase your teams’ skills

🥇 The bonus skills that would definitely make us pick you:

• Experience with large volumes of data

It is OK to apply without meeting all the 2nd and 3rd paragraph skills: just honestly tell us why you think you can be the one.