A hybrid Data & ML role at Oxylabs.
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Original listing text, shown exactly as published by the company.
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Build AI applications using Python, LLMs & RAG;
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Conduct research with new LLM technologies and frameworks (with a focus on AI coding assistants) to keep our AI capabilities at the cutting edge and share your findings with others;
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Collaborate with cross-functional teams to identify AI-driven opportunities and integrate various solutions into their operations;
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Fine-tune and optimize prompt strategies to enhance accuracy, reliability, and efficiency of LLM outputs;
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Define AI evaluation metrics and benchmarking frameworks and implement monitoring systems to track LLM performance and costs
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Promote the adoption and understanding of AI within Oxylabs.
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Proficiency in at least one programming language, ideally Python;
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Hands-on experience with agentic development patterns and best practices (tool use, planning loops, evaluation);
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Experience with LLMs (e.g., Anthropic/OpenAI/Gemini APIs) and AI application development;
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Experience with cloud infrastructure (ideally Google Cloud or AWS);
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Knowledge of best DataOps practices and tools including version control systems (e.g., Git), Terraform, Docker, and CI/CD;
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You're excellent at communicating in both written and spoken Lithuanian and English.
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Familiarity with agent frameworks (e.g., LangChain, Claude Agent SDK, Google ADK) or workflow automation tools (e.g., n8n.io);
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Proficiency in deploying and optimizing open-source AI models (e.g., Llama, Qwen);
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Background in Machine Learning beyond LLMs (e.g., computer vision, traditional ML).
Oxylabs
Data & ML
39 open roles on Sydicom
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Source: company website
