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Internship Telecommunication Engineer
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You will also be contributing to development and support of software tools and algorithms for RF applications. Master’s programme with RF-related courses.

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Machine Learning Engineer (MLOps focus)

Yechte Consulting
Belgique

Soumettre votre candidature

Détails de l'emploi

Qualifications

CI/CD
Azure
Kubernetes
DevOps
Spark
Git
SQL
Pandas
Docker
Machine learning
Exigences opérationnelles
Python

Description complète du poste

Job Details

Software Development

Medior

Perm/Contract

Belgium, Brussels

Full Time

Hybrid

Apply Now

Hiring Process

Time to Answer

2 open days

Process

1 Phone Call

1 Onsite Interview

Days to get an Offer

4 Days after Interview

More Info

Overview

Machine Learning Engineer (MLOps focus) with 6+ years of experience designing and automating end-to-end ML pipelines (CI/CD, CT), productionising models, and ensuring scalable, reliable deployments. Strong Python, SQL, Spark, Azure DevOps, and Git expertise with experience in model governance, monitoring, and cross-functional collaboration in data-driven environments.

Job Responsibilities

Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment.
Productionise ML models into clean, modular, and maintainable codebases.
Implement versioning and governance practices for data, code, and models.
Monitor model performance, data drift, and system reliability.
Collaborate with cross-functional teams to deliver scalable ML solutions.

Must Have Skills

Minimum 6 years of experience in ML Engineering or MLOps.
Strong proficiency in Python and SQL.
Experience with Apache Spark or similar frameworks for large-scale data processing.
Hands-on experience with CI/CD tools (e.g., Azure DevOps).
Familiarity with MLOps frameworks, model registries, and experiment tracking.
Proficient in Git for version control.
Ability to align technical deliverables with business objectives.

Nice to have

Experience with Docker, Kubernetes, and ML monitoring tools.
Solid understanding of ML algorithms (e.g., regression, classification, clustering).
Familiarity with libraries such as scikit-learn and pandas.
Ability to translate business requirements into technical solutions.
Strong customer focus and stakeholder engagement.

What's great in the job?

Great team of smart people, in a friendly and open culture
Expand your knowledge of various business industries
Create content that will help our users on a daily basis
Real responsibilities and challenges in a fast evolving company

Work at yechte

We are an independent digital consultancy with ambitious goals and a global presence. We support a diverse range of companies, building digital teams and delivering innovative digital solutions. Our multicultural and diverse workforce, comprised of ‘Global Citizens’, reflects this inclusivity.

We care about work-life balance and meeting the expectation of a growing team, investing in people because they are our greatest asset. Our consistent growth is a testament to this commitment.

Come work at yechte, a company on the rise, offering excellent benefits, opportunities for personal development, and the chance to learn from accomplished leaders. We are always looking for exceptional professionals to join our team.

What We Offer

Each employee has a chance to see the impact of his work. You work on real digital projects and make tangible contributions to the company. We want to provide to each individual personal, professional and social growth.

Flexibility

We care about your wellbeing. At yechte we offer flexi-hours and hybrid home/office work arrangements, enhancing employee work-life balance and productivity.

Attractive Benefits

We care about your comfort. At yechte we offer cost-effective and eco-friendly mobility plans, food allowances, and comprehensive healthcare support, enhancing employee satisfaction.

Personal Development

We care about your growth. At yechte we offer to boost your personal growth through tailored IT trainings and certifications, fostering a culture of agility and tech-driven expertise.

Soumettre votre candidature

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