Descrição do Emprego - Technical Lead (Lisbon -Hybrid)
We're fast learners, hard workers, natural collaborators... and we Make Modern Happen! 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!
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