Kallidus - AI Team Lead

1 hora atrás

PortoLisbon, Portugal Damia Group Tempo inteiro
Kallidus is currently hiring a AI Team Lead to join their amazing team 

At Kallidus, they're on a mission to help organisations build  people-first cultures through learning, performance, and
talent solutions. Our award-winning suite empowers organisations to attract, develop, and retain the best talent - combining data, learning, and behavioural insights into one seamless platform. The goal is to link Employee performance to business outcomes.

They're already embedding  Artificial Intelligence (AI) across their products to create more intelligent, personalised,
and impactful learning experiences. They're now looking expand our team in Portugal and seeking the right candidate to head this transformation — someone who can unite technical innovation with strong leadership, independent thinking and delivery excellence.

What you'll do: 

As AI Team Lead, you'll be involved in both defining strategy and hands-on delivery of initiatives at Kallidus. You will manage a growing multidisciplinary team of AI engineers, data scientists, and machine learning specialists, while also collaborating closely with software development teams to integrate AI capabilities across our products. You'll play a pivotal role in delivering real-world AI solutions — from concept through to deployment — ensuring projects are well-planned, agile, and aligned to Kallidus' wider business goals. At Kallidus their technical leadership balances strong people management with hands-on solution development. We remain "close to the code". If you relish that balance, you'll fit right in.You're a proven leader who thrives at the intersection of technology, people, and delivery.

You bring a strong understanding of AI/ML, excellent team management skills, and experience working in agile, cross-functional product teams. You combine strategic thinking with the ability to deliver measurable results.

  • Lead, manage, and inspire a cross-functional AI team, fostering a culture of innovation, collaboration, and accountability;
  • Establish clear objectives, KPIs, and performance metrics to develop and evaluate staff effectively;
  • Partner with Development, Product, and UX teams to integrate AI models seamlessly into production environments;
  • Oversee the end-to-end delivery of AI projects, ensuring timely, high-quality outputs within agile delivery cycles;
  • Apply agile project management practices to plan, prioritise backlogs, and adapt to changing requirements;
  • Architect and implement AI/ML solutions across use cases such as:- Personalised learning recommendation
    - Coaches and Conversational AI
    - Intelligent analytics and predictive insights
    - Skills mapping and performance prediction
    - Linking Performance with business outcomes
  • Maintain high standards of AI governance, ethical responsibility, and model explainability;
  • Stay current with emerging AI technologies, fostering continuous learning and experimentation within the team.

Requirements: 
  • 3+ years of demonstrable experience leading AI, ML, or Data Science teams in a SaaS environment;
  • Proven track record of delivering AI projects through all stages; from research and design to production deployment;
  • Experience working closely with software engineering teams in agile environments, including planning, retrospectives, and backlog prioritisation;
  • Enjoys an opportunity to work in a dynamic fast paced environment;
  • Deep technical understanding of Python, SQL, and modern MLOps practices;
  • Strong knowledge of ML techniques NLP, LLM based approaches;
  • Ability to optimise model deployment within the Azure suite of tools (Azure AI, Azure ML Studio, Azure OpenAI and CI/CD pipelines);
  • Excellent communication and stakeholder management skills, with the capability to translate technical concepts into business value;
  • A coaching-oriented leadership style that empowers team members and encourages growth;
  • Excellent communication skills with non-technical and technical stakeholders.

 
Nice to have:
  • Knowledge of AI ethics, governance, and responsible AI frameworks;
  • Background in integrating AI into software products;
  • Experience with A/B testing and data and model versioning;
  • A background in software development and an understanding of best practices.


Want to know more? Get in touch with us

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