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Senior Data Scientist - Azure Databricks & MLOps

Randstad
Belgium
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Python (Programming Language) Machine Learning SQL Databases Machine Learning Operations Databricks

Job description

Randstad Digital Belgium is seeking a senior Data Scientist / ML Lead to oversee the design, development and industrialisation of machine-learning solutions within Azure Databricks. You will work with data engineers, analysts and policy stakeholders to translate business needs into data-driven solutions.

Requirements

The role requires deep expertise in Python, SQL and Azure Databricks, with experience in ML techniques such as anomaly detection, risk scoring and classification, and a track record in MLflow, #J-18808-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

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Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 3 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Using WebAssembly for in-database Machine Learning thumbnail
58:53
LIVE • over 3 years ago

Using WebAssembly for in-database Machine Learning

Akmal Chaudhri

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • over 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

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