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Role Overview:
We're looking for experienced AI data engineers skilled in Python to collaborate with one of the world's top Large Language Model (LLM) companies. Your work will directly help improve how AI models think, reason, and code.
In this role, you'll generate and evaluate high-quality data used to fine-tune and benchmark LLMs. You'll design prompts, analyze model outputs, write Python solutions, and provide detailed feedback that guides model improvements. This is a unique opportunity to contribute to the next generation of AI systems—without needing to train or build the models yourself.
You'll:
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Offer Details:
Perks:
About Turing:
Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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Job ID: 141066329
Skills:
Strong SQL including analytical functions and query optimisation, Fluent use of coding agents and LLM tooling, Testing lineage and governance, ETL and ELT batch and streaming in Python, Production ownership of data systems
Skills:
Nosql, data mining, Python Programming, Sql, ML methodologies, Statistical Techniques, GenAI LLM data pipelines
Skills:
snowflake , Java, Hadoop, Scala, Sql, Hive, Gcp, Docker, Spark, Databricks, Azure, Kubernetes, Python, AWS, Airflow, GitHub Actions, dbt
Skills:
Pyspark, Sql, AWS Glue, Azure Data Factory, Python, Databricks Delta Lake, LLM ecosystems, Airflow, NoSQL vector databases
Skills:
snowflake , Sql, ELT, Tableau, Power Bi, Etl, Python, Git, Airflow, GenAI tooling, dbt, Streamlit, AI-assisted development workflows