AI Data Scientist

Role: AI Data Scientist

Location: Brussels, Belgium

Deadline for submitting CV’s: Asap

Start Date: ASAP

Client: Elbruspoint

Description:

We are looking for a talented AI data scientist with a business mindset coupled with a strong expertise in (Gen)AI. The successful candidate will work in a dynamic environment that presents opportunities to apply analytical skills to solve business problems.

Key Responsibilities:

•Work closely with business and technical teams to identify high-impact use cases for Generative AI

•Design, develop, and implement AI driven solutions for business needs, using both internal and external data sources.

•Identify and communicate insights from data analysis to support decision-making and problem- solving activities.

•Collaborate with cross-functional teams to identify and resolve data-related issues.

•Continuously monitor AI models for accuracy, and proactively identify and resolve data discrepancies and drift.

•Contribute to the development of a GenAI capability framework and internal best practices.

Language requirement

* English
* Dutch
* French

Required Knowledge and Experience

Personal Skills (soft skills – intangible qualities or traits that enhance our interactions)

Mandatory

• Ability to work independently and as part of a team

• Manage multiple priorities

• Meet tight deadlines

• Availability for occasional travel and projects in other operating companies

Business experience required (work experience)

Mandatory Years

• Data science, preferably in a business setting

Strong business acumen and the ability to understand and communicate business needs and requirements. _____________ Senior (5 y – 8 y)

Technical experience required (hard skills related to physical or digital tools)

Mandatory

* Proven experience with data wrangling, statistical analysis, predictive modeling, and machine learning.
* Proficient in Python and commonly used libraries (Pandas, NumPy, Scikit-learn, etc.).
* Cloud Expertise: Strong knowledge of cloud platforms, especially Azure (Azure AI services, Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.)
* LLM Libraries: Deep expertise with Python libraries such as Langchain, LangGraph, Promptflow, Semantic Kernel, and Autogen.
* Deep understanding of LLMs fine-tuning and/or training lifecycle (LLMops).
* Gen AI Deployment: Proven experience in deploying and monitoring Gen AI models using CI/CD pipelines, Weight & Biases, and GitHub workflows.

Functional experience required (job experience in particular industry and in particular function)

Mandatory

* Strong knowledge of data analysis techniques and tools, such as Python, SQL, PBI, DataBricks,

Tagged as: Git, Machine Learning, Python, Scikit-learn, SQL

Source ⇲
mygeekjob.com