Machine Learning, LLM & AI Analyst – Chatbots and Agents

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🕒 November 26, 2025

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Develop, train and optimize Machine Learning models and LLMs. • Create, implement and evolve chatbots and AI agents using generative models and advanced NLP techniques. • Implement data pipelines and workflows required for the operation of AI solutions. • Perform analysis, testing and validation of models, ensuring performance, security and effectiveness. • Work with LLM model APIs (OpenAI, Azure OpenAI, Anthropic, etc.). • Collaborate with internal teams to understand requirements and translate requests into AI solutions. • Stay up to date with trends, new tools and innovations in the generative AI ecosystem.

🎯 Requirements

• Experience with Machine Learning, NLP and/or Deep Learning. • Knowledge of LLMs, generative models and tools such as LangChain, LlamaIndex or equivalents. • Experience developing chatbots, assistants or AI agents. • Experience with Python and libraries such as TensorFlow, PyTorch, scikit-learn or similar. • Experience with AI APIs (OpenAI, Azure, HuggingFace, etc.). • Knowledge of data pipelines, model versioning and MLOps best practices (differential). • Experience with cloud platforms (AWS, GCP or Azure) is a plus. • Advanced English.

🏖️ Benefits

• Diversity and inclusion in the hiring process • Opportunities for professional growth • Remote work