Job Description
About the role:
We are looking for technically strong, pragmatic engineers with a primary focus on AI, including hands-on experience with Generative AI and large language models (LLMs). Candidates should also bring solid software engineering practices and a good data background, enabling them to build, deploy, and operate AI-driven solutions in production. We value engineers who collaborate openly, adapt quickly, and focus on delivering practical, usable outcomes.
Experience and requirements:
Data & Analytics Engineering
Strong SQL and experience working with large analytical datasets
Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks)
Understanding of data modelling, joins, aggregations, and performance trade-offs
MLOps & AI Platform Operations
Experience operationalizing ML and LLM-based systems in production environments
Familiarity with model lifecycle management (training, versioning, deployment, rollback)
Understanding of mon...
We are looking for technically strong, pragmatic engineers with a primary focus on AI, including hands-on experience with Generative AI and large language models (LLMs). Candidates should also bring solid software engineering practices and a good data background, enabling them to build, deploy, and operate AI-driven solutions in production. We value engineers who collaborate openly, adapt quickly, and focus on delivering practical, usable outcomes.
Experience and requirements:
Data & Analytics Engineering
Strong SQL and experience working with large analytical datasets
Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks)
Understanding of data modelling, joins, aggregations, and performance trade-offs
MLOps & AI Platform Operations
Experience operationalizing ML and LLM-based systems in production environments
Familiarity with model lifecycle management (training, versioning, deployment, rollback)
Understanding of mon...
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