Tech Lead AI
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Define and evolve AI architecture choices: ML, deep learning, generative AI, LLMs; Design robust, scalable AI solutions aligned with business objectives; Ensure the technical quality of deliverables and oversee code reviews; Drive technology choices and maintain active monitoring of AI innovations; Establish engineering best practices (testing, code review, standards); Lead and develop a team of AI Engineers (junior to senior profiles); Structure AI engineering practices: code standards, MLOps, documentation; Contribute to the recruitment and career development of AI profiles within Keyrus; Run technical workshops and share knowledge within the practice; Manage end-to-end production deployment of AI use cases (from POC to production); Design and implement advanced RAG architectures (ingestion, indexing, generation); Optimize GenAI systems (prompt engineering, fine-tuning, evaluation); Implement data pipelines and model monitoring systems; Interact directly with clients: scoping, reporting, strategic advisory; Ensure performance, security, and cost optimization of deployed AI solutions.
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Requirements
- Minimum 6 years' experience in AI engineering/data science, including at least 2 years in technical leadership
- Degree in Computer Science, Data Science, Applied Mathematics or equivalent
- Proven expertise with LLMs, generative AI and RAG architectures
- Strong proficiency in Python and the ML ecosystem (PyTorch, HuggingFace, LangChain, etc.)
- Hands-on experience in MLOps and production deployment: CI/CD, orchestration, monitoring (MLflow, Airflow, etc.)
- Familiarity with cloud and data platforms (Snowflake, Azure, AWS, GCP)
- Ability to communicate complex technical concepts to business stakeholders
- Natural leadership, pedagogical skills, ability to develop a team, autonomy and team spirit
- Professional proficiency in English is a plus
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. xwjxdcb This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills- AI architecture
- machine learning
- deep learning
- generative AI
- large language models
- Python
- MLOps
- data pipelines
- prompt engineering
- fine-tuning
- leadership
- team development
- communication
- autonomy
- team spirit
- pedagogical skills
- strategic advisory
- technical workshops
- client interaction
- code review