Data & AI Engineer

About the Position

🗼 Meet us at in-cosmetics 2026 in Paris | Stand 2M188

Join Ínclita Seaweed Solutions (ISS), a pioneering Portuguese marine biotech startup, as a Data & AI Engineer. You will develop and maintain our data and machine-learning infrastructure, contributing to the discovery, development, production, and commercialization of sustainable and innovative ingredients derived from seaweeds.

About the Company

ISS is dedicated to providing sustainable and innovative ingredients tailored to the needs of customers in cosmetics, nutraceuticals, and pet care. As a spin-off from CIIMAR, ISS is well-funded and supported by a lead investor, a sizeable independent VC firm in Portugal.

Responsibilities

• Database Ownership: Own and evolve our PostgreSQL database, including schema design, relationships, constraints, triggers, data integrity, and database maintenance.
• Data Pipelines: Design, build, and maintain data engineering pipelines for ingesting, transforming, enriching, and integrating data from external sources.
• Data & ML Workflows: Develop and maintain Python-based data and ML workflows, including orchestration and model lifecycle management.
• ML Infrastructure: Take technical ownership of the machine-learning infrastructure and algorithms, ensuring they remain reliable, reproducible, and properly integrated with the wider platform.
• Tooling: Work with technologies such as MLflow and Airflow, as well as other relevant data and ML tools.
• Platform Integration: Integrate data and ML functionality with the wider application through APIs and other interfaces.
• AI Innovation: Contribute to the evaluation and adoption of new AI models, frameworks, and technologies, particularly open-source solutions.
• Engineering Best Practices: Ensure good practices around data quality, testing, versioning, reproducibility, and monitoring.

Requirements

Skills (must-have):

• Degree, Master’s, or PhD in Data Science, Computer Science, Bioinformatics, or a related quantitative field (minimum: Bachelor’s degree).
• 5+ years of relevant professional experience, including in ML/AI.
• Strong Python and SQL skills.
• Strong experience with PostgreSQL and relational database design.
• Experience building and maintaining data pipelines and ETL/ELT processes.
• Good understanding of machine learning and MLOps.
• Familiarity with tools such as MLflow, Airflow, and Git.
• Experience working with APIs and external datasets.
• Good software engineering practices and the ability to write maintainable, reliable code.
• Ability to take ownership of technical systems and work independently.
• Willingness and ability to learn new technologies as the project evolves.

Nice to Have:

• Experience with scientific, biological, or other complex datasets.
• Experience with Linux and cloud infrastructure.
• Experience with LLMs, open-source AI models, and modern AI frameworks.
• Familiarity with JavaScript/TypeScript or React.

Character:

• Strong communicator who can explain technical topics clearly to non-technical colleagues.
• Team player with the ability to work collaboratively and independently.
• Strong sense of responsibility and ownership of the systems you build.
• Proactive problem solver with a strong analytical mindset.
• Committed to joining a long-term effort to build a global, market-leading company.
• Passionate about sustainability and blue economy issues.

We Offer

• A well-funded startup supported by an independent VC firm in Portugal as the lead investor.
• Founders with senior and executive-level expertise.
• Competitive salary and benefits compared to similar startups and SMEs.
• On-site work with flexibility. Remote days are allowed, but full remote is not supported at this stage.

Location

Vila Nova de Gaia (Valadares), near Porto, Portugal.

Application Process

• Applications must be formalized by email to [email protected] and must explicitly state the announcement reference: ISS – Data & AI Engineer.
• Applications must include a curriculum vitae, detailed and structured, the announcement identification, full name, and contact address, including email address and telephone.

Send application

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