Technical Lead (Lisbon - Hybrid)
Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together.
If you share our vision, join us!
Right now, we are looking for a Technical Lead for a client on our Talent Team.
Your responsibilities include:
- Develop, maintain, and optimize
solutions using Python, PySpark, and Databricks
- Refactor and improve existing code,
including legacy systems
- Build and maintain data and Machine
Learning pipelines in Microsoft Azure
- Work with Azure Data Factory and
related cloud services
- Implement, monitor, and evolve
Machine Learning models in production
- Evaluate performance metrics and
ensure model quality
- Develop solutions based on GenAI and
Large Language Models (LLMs)
- Implement single-agent and
multi-agent architectures
- Develop and maintain RAG
(Retrieval-Augmented Generation) solutions
- Work with LangChain, LangGraph, and
observability tools such as Langfuse
- Manage document indexing and vector
databases
- Develop and maintain REST APIs
- Participate in deployment processes,
CI/CD, and environment management
- Ensure development best practices,
automated testing, and code quality
- Produce technical documentation and
support troubleshooting and log analysis
- Collaborate in permission
management, access control, and data governance.
You must have:
- Strong experience with Python
- Experience with PySpark and
Databricks
- Solid knowledge of Microsoft Azure
- Experience with Azure Data Factory
- Experience developing data and ML
pipelines
- Knowledge of Machine Learning
concepts (regression, classification, and metrics)
- Experience with REST APIs and
service integrations
- Knowledge of PostgreSQL / SQL
- Experience with GitHub and version
control workflows
- Knowledge of pytest and SonarQube
- Familiarity with DevOps and CI/CD
practices
- Hands-on experience with GenAI
solutions
- Experience using OpenAI models and
APIs
- Knowledge of LangChain and LangGraph
- Experience implementing RAG solutions
- Knowledge of vector databases and
document indexing
- Experience with observability and
monitoring tools (e.g., Langfuse)
We offer:
- Integration into a dynamic and
motivated team for the performance of the role.
- Additional training.
- Salary package according to the role
performed.
- Professional development.
Workplace: Hybrid - Lisbon
Claranet, Make modern happen!