Your role
At Dataroots, we focus on providing state-of-the-art AI solutions to optimize business operations through advanced machine learning operations (MLOps). As an
MLOps Engineer
, you'll develop, deploy, and optimise scalable ML pipelines across diverse projects. Your role is critical in ensuring our AI models transition smoothly from experimentation to production, adhering to best practices like CI/CD, automated testing, and model monitoring.
You are enthusiastic about operationalizing machine learning and understand the importance of integrating data science workflows into scalable, resilient systems. You enjoy working collaboratively with data scientists, cloud architects & data strategists to streamline machine learning operations and provide value to our clients. While MLOps is your core focus, your work will extend beyond operationalization, allowing you to contribute to a variety of projects, from developing machine learning models to advising on end-to-end data solutions. Your expertise will be leveraged across our diverse range of projects.
You'll also have the opportunity to mentor colleagues, share knowledge, and stay on top of industry developments through a range of initiatives we support internally.
What you'll find at Dataroots
Since 2016, Dataroots has been committing its excellent consulting services to help clients excel in their data-driven operations. Our approach focuses on team well-being, fostering diversity, and promoting knowledge sharing. By focusing on these values, we've achieved healthy and sustainable growth over the years. Through our consulting services, we actively encourage professional growth by exposing our employees to different industries, tools, technologies,... broadening their scope in the process.
As part of the Talan Group, we are able to take this approach to the next level, adding the element of international mobility to our employees' career journey.
Join a team where your work will have a direct impact on both our clients and our journey. Learn more about our DNA at [].
Your Expertise
You bring the following to the table:
* A
Master's
degree or equivalent experience in Computer Science, Data Science, or a related field.
* 3+ years of experience in MLOps
* Experience in a
client-facing environment.
* Deep knowledge of frameworks like
MLflow
,
Kubeflow
, or
TensorFlow Extended (TFX)
.
* Proven track record of setting up CI/CD pipelines for ML projects.
* Strong proficiency in
Python & SQL
, with familiarity of at least one other programming language (like Go, Rust, Javascript,...).
* Experience with cloud services like
AWS
,
Azure
, or
GCP
and understanding their use in scaling ML operations.
* Familiarity with containerization (
Docker
,
Kubernetes
) and orchestration tools like
Airflow
,
Prefect or Dagster
.
* Familiarity with real-time endpoints and
serverless computing
for ML deployments.
* Experience with
ML versioning tooling
, including data versioning and model registries.
* Strong
problem-solving skills
and the ability to communicate complex concepts clearly.
* Fluency in English. Speaking
Dutch/French fluently
is a very big advantage.
* Consulting experience
is a big plus.
What we offer
* An attractive salary with extralegal benefits, including:
+
Mobility budget or a company car with fuel/charging card
+
Hospitalisation and group insurance
+
High-end laptop
+
Smartphone with subscription
+
Substantial amount of holidays
+
Meal vouchers
+ ...
* Diverse and welcoming work environment
, where you'll collaborate & unwind with colleagues from different cultures and disciplines. The organisation of both fun & professional events and initiatives is actively encouraged and supported.
* A
training budget
for individual and team learning opportunities.
* Tons of
team-building events
and sports initiatives to stay connected and unwind.
Where you'll work
Our main offices are in
Leuven
and
Ghent
, with co-working spaces in
Charleroi
and
Antwerp
. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events. While much of your work can be performed remotely, you will also work on-site with clients.
Ready to join Dataroots?
If you're passionate about advancing
MLOps
and transforming industries, apply now to become part of our team