Artificial Intelligence Solutions Strategist

1 mese fa


Milano, Lombardia, Italia Docebo A tempo pieno

AI Technical Product Manager Role Summary

As an AI Technical Product Manager at Docebo, you will be responsible for bridging the gap between technical and business perspectives to ensure that AI solutions deliver value, are ethically responsible, and align with the organization's overall strategy.

This role is crucial in ensuring that AI projects align with the organization's goals, are technically sound, and deliver value.

Key Responsibilities:

  1. Work closely with the AI Leadership team to set the vision of the AI-centric product at different scales—short-term, mid-term, and long-term.
  2. Collaborate with the AI Product manager to understand business requirements and objectives.
  3. Select appropriate AI techniques, algorithms, and technologies to design AI solutions that can address these needs effectively.
  4. Evaluate and propose solutions to implement, taking technical feasibility into account to help craft the AI product strategy.
  5. Assess new and emerging technologies to identify promising ones.
  6. Decide which Machine Learning or Deep Learning models are suitable for a given problem, considering model complexity, training data availability, and computational resources.
  7. Assess and plan the necessary computational infrastructure for AI projects, which may include GPUs, TPUs, cloud resources, and distributed computing setups.
  8. Design solutions that can scale as the data and computational demands grow, considering distributed computing, containerization, and other scaling techniques.
  9. Oversee the integration of AI solutions into existing IT systems and workflows, ensuring that AI seamlessly fits into the organization's operations.
  10. Writing detailed documentation of AI system architectures, models, and processes is essential for transparency and future reference.
  11. Stay up-to-date with the latest advancements, tools, and best practices.

Requirements:

  • At least 5 years of experience in data mining, data analysis, and Machine Learning, working on large-scale projects and heterogeneous data sets.
  • Strong analytical skills.
  • Strong statistics, data mining, and machine learning foundations.
  • Experience with Generative AI around topics such as LangChain, LLama Index, RAG, Hugging Face, Prompt Engineering, AI Agents.
  • Strong teamwork attitude.
  • Solid software engineering expertise.
  • Fluency in English.
  • Master's degree in Computer Science, Math, Statistics, Physics, or similar.

Nice to Have:

  • Knowledge of service-oriented computing, specifically the REST paradigm, and microservices
  • Hands-on experience with commercial cloud platforms, such as Amazon Web Services and Google Cloud
  • Attitude to work and deliver within the context of agile development methodologies

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