Match Profiler

AI engineer

In short

AI Engineer role at Match Profiler, an Information Systems consultancy, for a hybrid position in Lisbon, Portugal. The job covers end-to-end data science / ML work - data preparation, modelling, evaluation and deployment - plus LLM, RAG, prompt engineering and Generative AI technologies on cloud infrastructure. It requires at least 5 years of hands-on Data Science/ML experience, strong Python skills, cloud experience, and C-level English fluency.

About Match Profiler
Match Profiler is an Information Systems consultancy with over 25 years of experience in the national and international technology market. We believe in challenging and motivating projects, driven by multidisciplinary and agile teams - and we are looking for those who want to grow with us. With a close-knit approach, we develop solutions that drive business growth with innovation, trust and security. If you aspire to a career that challenges you daily and allows you to make a real impact - this opportunity is for you.
Requirements
•Strong fluency (i.e. CEFR level C) in English, written and spoken, is mandatory.
•At least 5 years of direct professional experience in Data Science / ML projects.
•Professional experience in end-to-end data science / machine learning initiatives, encompassing data understanding, preparation, modelling and evaluation, and deployment, is mandatory.
•Solid command of data science concepts and principles - especially around EDA, modelling and evaluation - is mandatory.
•Professional experience with Python and industry standard Python data science / ML frameworks (e.g. scikit, pytorch, keras, opencv, pandas, others) is mandatory.
•Professional experience in data preparation/transformation (e.g. SQL, pandas) is mandatory.
•Direct professional experience with cloud infrastructure is mandatory.
•Experience with LLM, RAG, prompt engineering and Generative AI (e.g. OpenAI, Bedrock) technologies is mandatory.
•Good communication
•Team spirit
•Proactivity
•Time management
Nice to have
•AWS is highly preferred
•Professional experience with MLOps solutions (e.g. MLflow, Databricks) is highly valued
•Professional experience with software engineering best practices and tools (Git, CI/CD, unit testing) is highly valued
Conditions
•Careful onboarding and close support from day one
•Continuous feedback aligned with your professional goals
•An accessible and collaborative team ready to support each individual's journey
•A close-knit environment where idea sharing and personal development are valued
•Access to a network of partnerships offering exclusive discounts on health, wellness, travel, culture, gastronomy, leisure and much more
•Social events and initiatives that strengthen team spirit
•Base salary: 25.000€ – 42.000€ gross/year (depending on experience)
•Meal allowance: 7,50€/day (meal card)
•Health insurance: included for the employee, with option to extend to family
•Performance bonus: annual, based on individual and company objectives

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