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Selected role

ML Engineer

ALDI Debrecen, HB, HU

Senior Full-time

PLACE OF WORK

4024 Debrecen, Barna utca 23

AREA OF EMPLOYMENT

START OF WORK

as soon as possible

EMPLOYMENT TYPE

Full-time

My responsibilities:

Collaborates with Data Scientists to validate and scale new algorithms, spanning classical machine learning, deep learning, and LLM-based approaches, through pilot phases, and later industrializes these solutions at scale.
Designs, builds and operates Generative AI / LLM applications (e.g., RAG pipelines, fine-tuned models, agentic workflows), applying LLMOps practices such as prompt and version management, systematic evaluation, guardrails, and cost/latency optimization
Influences, contributes and maintains the large-scale data infrastructure required for the AI projects in close collaboration with the data engineers
Leverages an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
Designs, develops and maintains the framework for analytical and ML pipelines, applying MLOps practices: CI/CD for models, automated training and retraining workflows, model registry and reproducible deployments
Develops common components to address pain points in machine learning projects, such as model lifecycle management, feature stores, data quality evaluation, and evaluation harnesses for LLM-based applications
Implements monitoring and observability for models in production, including tracking data and model drift, performance degradation, and, for GenAI applications, output quality and hallucination.
Supports responsible AI practices: contributes to model risk management, explainability, and compliance with applicable AI regulation (e.g., EU AI Act) and internal governance standards
Provides input and helps implement frameworks and tools to improve data quality
Works in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
Delivers on time, demonstrating strong commitment to deliver on the team mission and agreed backlog

The knowledge I own:

Has a background in computer science, mathematics or related technical discipline
Is experienced in software engineering with exposure to statistical, data science and AI/ML roles
Has deep knowledge and proven experience with optimizing and operating machine learning models in a production context; hands-on experience deploying and operating LLM-based applications is a strong plus
Worked with Python in a productive environment (mandatory). Background in programming in C, C++, Java and Scala is beneficial. Exposure to both streaming and batch analytics. Experience with the core data/ML stack is beneficial: SQL, Spark, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Databricks
Experience with MLOps tooling is beneficial: MLflow or comparable experiment tracking and model registry, workflow orchestration (e.g., Azure Data Factory, Databricks Declarative Automation Bundles), containerization and orchestration (Docker, Kubernetes), CI/CD, infrastructure-as-code, and cloud ML platforms
Experience with the GenAI/LLM ecosystem is beneficial: Hugging Face, LLM APIs, orchestration frameworks (e.g., LangChain, LlamaIndex), vector databases (e.g., pgvector, Azure/Databricks AI Search), and LLM evaluation/observability tooling
Has experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Spark, Ray)

Agile / Digital Experience

Has experience working in AI startup environment or organizations with an agile culture
Has a professional attitude and service orientation; superb team player

Individual Skills

Has sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
Demonstrates good written and verbal communication skills along with strong desire to work in cross-functional teams

Mindset & Behaviors

Is able to build a sense of trust and rapport in terms of quality
Has an attitude to thrive in a fun, fast-paced, startup-like environment
Is open minded to new approaches and learning

The offer that would convince me:

We develop and maintain our own product with high emphasis on quality and long-term stability
Code quality matters: we follow Clean Code and SOLID principles backed by robust testing
Flexible working hours and remote work options
Competitive salary with regular adjustments based on inflation and loyalty
Access to continuous learning via our internal learning platform and expert communities

Online application:

Please use our online application and attach your resume.

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Our benefits for you...

above avarage salary

colorful and responsible tasks

creative freedom

comprehensive training period

professional trainings at ALDI Academy

employee welfare

well-equipped rest areas

fresh vegetables, fruits, coffee and tea

anniversary bonus

reliable employer

team building opportunities

support for commuting

...and many more!

Kattints ide, amennyiben a tartalom megtekintéséhez hozzájárulásodat kívánod adni harmadik fél szolgáltatásainak vagy technológiájának használatához.

At ALDI, we always keep customer satisfaction in mind. More than 6000 employees work every day to create the optimal customer experience. Join us and start your ALDI career in one of our stores, in our warehouses in Biatorbágy, in our head office, or in one of our service centers in Budapest, Pécs or Debrecen. Take your first step and join our successful team.

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