Genesis Digital Solutions | Tempo integral
Tech Lead Data Scientist
GenesisDigital Solutions is a consulting and technology company that helpsorganizations turn ideas into measurable business impact through digitalexpertise and AI innovation. Founded in 2018, we operate across Portugal andthe United Arab Emirates, supporting clients in multiple industries withintelligent, scalable, and secure solutions. We combine strategy, engineering,and emerging technologies such as AI, Data, Web3, and Digital ProductDevelopment to drive transformation end to end. Our focus is on buildingpractical, human-centered solutions and long-term partnerships that enablesustainable growth, innovation, and real-world results.
Join ourclient’s team as a Tech Lead Data Scientist and lead the development ofnext-generation AI solutions. This is more than a hands‑on engineering role—youwill define technical strategy, architect intelligent systems, and mentor ateam delivering enterprise‑grade AI applications powered by Large LanguageModels, Retrieval-Augmented Generation (RAG), AI Agents, and Generative AI.
What You’llWork On
- Leading thedesign and implementation of scalable AI and Machine Learning solutions forenterprise use cases.
- Definingtechnical architecture for Generative AI applications, AI Agents, and RAG-basedsolutions.
- Designingand optimizing LLM-powered applications using modern AI frameworks andorchestration tools.
- Buildingintelligent AI pipelines with LangChain, LangGraph, and Vector Databases.
- Drivingarchitectural decisions and ensuring solutions are scalable, secure, andproduction-ready.
- Collaboratingwith cross-functional teams to translate business requirements into AI-drivenproducts.
- Establishingengineering best practices for AI development, testing, deployment, and MLOps.
- Mentoringand supporting Data Scientists and Machine Learning Engineers, fosteringtechnical excellence across the team.
- Evaluatingemerging AI technologies and identifying opportunities to drive innovation.
What We’reLooking For
- 5 to 10years of professional experience in Data Science, Machine Learning, orArtificial Intelligence.
- Provenexperience leading technical teams or acting as a technical reference on AIprojects.
- Strongexpertise in Python and modern AI development frameworks.
- Hands-onexperience with Large Language Models (LLMs), Generative AI, andRetrieval-Augmented Generation (RAG).
- Experiencebuilding AI Agents and intelligent workflows using LangChain and LangGraph.
- Strongknowledge of Vector Databases and semantic search technologies.
- Experienceimplementing MLOps practices and deploying production-ready AI solutions.
- Experienceworking with cloud platforms such as Azure, AWS, or GCP.
- Strongproblem-solving, communication, and stakeholder management skills.
- Ability tocombine technical leadership with hands-on development in a fast-pacedenvironment.
BonusPoints
- Experiencedesigning enterprise-scale AI platforms and intelligent automation solutions.
- Knowledgeof AI governance, responsible AI, and security best practices.
- Experiencewith prompt engineering, AI orchestration frameworks, and multi-agent systems.
- Cloud or AIcertifications (Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, orsimilar).
Why You’llStay
- A workplaceat the forefront of AI innovation and digital transformation.
- Opportunityto lead cutting-edge Generative AI and Machine Learning initiatives.
- Collaborativeenvironment where technical leadership is valued and encouraged.
- Support forprofessional development, training, and certifications.