Data Scientist
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?We're Hiring: AI Engineer – Machine Learning & LLMs
Direct hire with an end client in the banking sector.
Join a forward-thinking organization leveraging cutting-edge AI and data solutions to drive innovation and business impact.
Are you passionate about building intelligent systems and applying AI to real-world business challenges?
Do you enjoy working with machine learning, LLMs, and advanced data solutions in production environments?
Then this opportunity is for you.
We're looking for anData Scietistto join a highly skilled and innovative team.
You'll play a key role in designing and implementing machine learning models and AI-driven systems, including LLM-based agents, ensuring scalability, performance, and real business value.
?What will you do day-to-day?
Develop machine learning solutions (supervised & unsupervised) and perform advanced data analysis in enterprise contexts
Design and implement AI agents using LLMs for use cases such as intelligent customer service, process automation, and assisted analytics
Build advanced agent-based systems including LLM orchestration, RAG architectures, guardrails, and secure integrations
Integrate AI systems with APIs, databases, and enterprise platforms
Work across the full AI lifecycle: data exploration, preparation, modelling, deployment, and monitoring in production
Collaborate with technical and business teams to deliver scalable AI solutions
Continuously improve models and systems to ensure performance, reliability, and business impact
✅Key Requirements
Degree in Data Science, Engineering, Mathematics, or similar
3–5 years of experience in AI, Machine Learning, or Data Science roles
Hands-on experience with LLMs and AI agent systems
Strong programming skills in Python and SQL
Experience with Databricks (preferred)
Strong analytical thinking and problem-solving skills
Ability to work autonomously and communicate effectively with cross-functional teams
Fluent in English
?Nice to Have
Experience in cloud environments and data/AI pipelines
Knowledge of .
NET and API or microservices integration
Experience in banking or financial services projects
Experience deploying AI models into production environments
?Conditions
Location: Taguspark – Lisboa
Work model: Hybrid (3 days per week in the office)
Salary: 60,000€ - €68,000 gross/year (depending on experience) + meal allowance + benefits
?Benefits
Direct contract with end client (no outsourcing)
Strong work-life balance culture
Collaborative and multicultural environment
Continuous training and professional development
Attractive compensation package
Profit-sharing opportunities
Private healthcare plan (extendable to family)
Preferential housing credit conditions
Corporate partnerships and discounts
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