LLMOps Engineer
LLMOps Engineer
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Job Description
Roles and Responsibilities
We are looking for a Machine Learning Operations/Large Language Model Operations MLOps/LLMOps Engineer to join us in Warsaw. In this role together with Data Scientists and Data Engineers you will be responsible for streamlining the process of taking machine learning (ML) models to production. You will participate in designing and building these models data preprocessing performance tuning of ML models etc. Furthermore you will also work on projects and initiatives where Large Language Models (LLMs) will be leveraged in the broader context of Generative AI solutions.
We are looking for curious and empathetic individuals who are committed to continuous learning professional development and sharing knowledge within the team. We hire people based on an evaluation of their potential and support them throughout their time at ING. Come and join us!
We are looking for You if You:
have excellent communication skills capable of working collaboratively in a semiremote globally distributed team.
have working knowledge of Python.
have handson experience of building complex data pipelines e.g. in Apache Spark.
have handson experience with technologies and frameworks used in ML e.g. sklearn MLFlow etc.
have handson experience with Natural Language Processing (NLP) frameworks as well as finetuning and bringing Large Language Models to production.
Youll get extra points for:
being a continuous learner with a curious mindset who is collaborative and passionate about helping others to grow and improve.
knowledge of MLOps & LLMOps architectures and practices.
experience with deployment and provisioning automation tools and concepts e.g. Docker Openshift CI/CD.
handson experience of working with Google Gemini LLM and Vertex AI Platform.
good understanding of Retrieval Augmented Generation (RAG) architecture and Agentic Workflow frameworks.
The role naming convention in the global ING job architecture will be Engineer III
Employment Type
Full-Time
