Data Scientist | Python | Agentic AI & LLMs (Hybrid@Lisbon)

Bee Engineering ICT; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Psychological support

Life insurance

Free training and certification plans

Restaurant discounts

Gym discounts

One-to-One culture

Celebrations (in-person or remote)

Resumo da oferta

Bee Engineering ICT in Lisbon, Portugal is seeking a senior Data Scientist with 4+ years in Data Science, ML or AI roles. You will work on Generative AI solutions, build with LLMs, and integrate LLM APIs in cloud environments.

The role requires strong Python, ML/DL skills, and experience with frameworks like LangChain, LangGraph, LlamaIndex, or Semantic Kernel, plus English proficiency. Join a diverse team driving innovative engineering projects.

Qualificações

• 4+ years of professional experience in Data Science, Machine Learning or AI-related roles.
• Strong proficiency in Python.
• Solid experience with Machine Learning and Deep Learning.
• Hands-on experience with Large Language Models (LLMs).
• Experience developing solutions based on Generative AI.
• Knowledge of prompt engineering and LLM orchestration.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar.
• Experience integrating and consuming LLM APIs.
• Experience with data processing and analysis libraries such as Pandas, NumPy and Scikit-learn.

Descrição da oferta de emprego

if (me.dareToChange() == true) { me.sendCV(); me.happy(true); }

We code opportunities, not just solutions.

We are an information technology consultancy, specialised in IT-related Engineering projects.

Our team consists of around 200 curious, bold, and solution-hacking professionals.

We invest in training, certifications, and challenges that recognise your progress, promote a healthy work-life balance, and offer benefits that truly impact your life and career.

We create a safe and inclusive environment where opportunities are equal for everyone. We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit.

If you want to work in a place where every line of code matters, learn something new every day, and leave your mark, come join us on this mission. #DareToChange

Dare to Have:

• 4+ years of professional experience in Data Science, Machine Learning or AI-related roles;
• Strong proficiency in Python;
• Solid experience with Machine Learning and Deep Learning;
• Hands-on experience working with Large Language Models (LLMs);
• Experience developing solutions based on Generative AI;
• Knowledge and practical experience with Agentic AI / AI Agents;
• Knowledge of prompt engineering and LLM orchestration;
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar;
• Experience integrating and consuming LLM APIs;
• Experience with data processing and analysis libraries such as Pandas, NumPy and Scikit-learn;
• Knowledge of MLOps / LLMOps concepts and model lifecycle management;
• Experience with REST APIs, Git and CI/CD environments;
• Good understanding of cloud environments such as Azure, AWS or GCP;
• Good level of English.

Dare to live:

First: Health | Health and dental insurance, psychological support, and life insurance to take care of your overall well-being.

Continuous Learning | Access to free training and certification plans in technologies, methodologies, languages, and soft skills to boost your professional development.

Partnerships | Exclusive benefits and discounts at restaurants, gyms, travel, pharmacies, and much more.

One-to-One | A culture of open communication, where every voice is heard and valued.

Celebrations | Joint celebrations, in-person or remote, with surprises and special moments.

Referral Program | Referral program for colleagues and friends, recognising and valuing your contribution to building the team.

Projects | We work on diverse projects, in different formats, scales, and work arrangements, allowing you to explore new technologies, methodologies, experiences, and grow professionally in varied contexts.

Diversity | We promote diversity and equity, creating a safe and collaborative environment. We are committed to practices that ensure equal opportunities and fight discrimination.

Sustainability & CSR | We act responsibly and sustainably, with a strategic plan aligned with the UN Sustainable Development Goals (Agenda 2030), contributing to a fairer and more balanced world.