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Role Overview:
We're looking for experienced Python developers 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:
Requirements:
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: 147194171
Skills:
Ems, Django, Nms, Gcp, Docker, Flask, SNMP, Python Programming, FastAPI, Rest Apis, Azure, Kubernetes, AWS, Sdn, Telecom Networking concepts, Microservices Architecture, OSS systems
Skills:
Github, PostgreSQL, Microservices, Nosql, Encryption, Celery, Docker, Agile, Flask, Scrum, Python, AWS, Oauth, Pytest, SQL Server, Jwt, Sql, Django, Rabbitmq, Git, Gcp, MongoDB, FastAPI, Restful Apis, Asynchronous programming, Azure, Kubernetes, async await, unittest, form.io, GitHub Actions
Skills:
Git, Rest Apis, Python, Model execution, AI ML concepts and workflows, Fine-tuning techniques, CI CD pipelines, Microservices architecture
Skills:
Neo4j, Docker, FastAPI, Python, Pytest, AWS, Vector databases, Pydantic v2, Cypher, OpenAI API, LangGraph, LLM APIs, Async Python, ETL pipelines
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