Data & Ai Systems Engineer

Data & Ai Systems Engineer
Vila Nova da Barquinha
Vila Nova da Barquinha, Santarém, Portugal

ISS is an innovative and sustainable Portuguese marine biotech startup, dedicated to the discovery, development, production, and commercialisation of sustainable and innovative ingredients derived from seaweeds, tailored to the needs of customers in cosmetics, nutraceuticals, and pet care. ISS is a
- off from CIIMAR and is well funded and supported by a lead investor, a sizeable independent VC firm in Portugal with proven experience in successfully propelling Iberian startups into international markets. Profile summary
The Data and AI Engineer / Scientist will be responsible for advancing ISS’s AI and machine learning ecosystem, transforming complex scientific and operational data into actionable intelligence. This role will explore, evaluate, and integrate emerging AI tools and methodologies, while designing machine learning environments that reveal meaningful relationships between compounds, species, and bioactivities. The role sits at the intersection of data engineering, analytics, and applied AI, with a strong focus on experimentation, scalability, and business impact. Key Responsibilities
AI & ML Exploration and Integration:
- Continuously evaluate, benchmark, and test emerging AI models, APIs, machine learning frameworks, and analytics tools. - Integrate relevant AI and ML capabilities into internal databases, workflows, and
- oriented applications. Machine Learning Environment Development:
- Design, build, and maintain a machine learning “playground” environment leveraging internal Postgre
SQL datasets. - Source, adapt, or develop models to analyse compound behaviour, synergy patterns, and species variability. Advanced Analytics & Predictive Modelling:
- Design and implement predictive modelling, clustering, and pattern recognition strategies to forecast bioactivity performance. - Apply
- based analysis, embedding models, explainability methods (e. G. , SHAP), and dimensionality reduction techniques to uncover hidden relationships. Cross-functional Data Support:
- Support
- driven initiatives across commercial, financial, operational, in silico validation, and
- related activities. - Collaborate closely with technical, R&D, and sales teams to define
- driven analytics and translate business questions into analytical models. Prototyping & Communication:
- Support rapid prototyping of new AI-enabled capabilities, including search, inference, recommendation, and
- support engines. - Communicate analytical findings clearly through visualisations, reports, and presentations tailored to both technical and
- technical stakeholders. Tools & Technology- ML & AI Frameworks: Tensor
Flow, Py
Torch, Scikit-learn- Version Control & Deployment: Git
Hub, Docker- Visualisation & BI: Plotly, Power BI, Tableau- LLM & AI Integrations: Open
AI, Hugging Face, Lang
Chain- Advanced Pattern Analysis: Graph networks, clustering algorithms, PCA, SHAP, embedding models
Candidate Profile
Education:
- Degree in Data Science, Computer Science, Bioinformatics, or a related quantitative field. Experience:
- Minimum of 3 years of experience in a corporate and/or startup environment. - Proven experience in ML/AI development;



backend engineering or analytics engineering experience is a plus
Technical & Scientific Skills:
- Strong
- on experience designing, training, and deploying machine learning models. - Experience working with structured databases and data pipelines. - Familiarity with LLM-based tools and modern AI integration frameworks. Domain Knowledge (Preferred):
- Experience working with scientific, biochemical, or
- science data is highly desirable but not mandatory. Soft Skills & Work Style:
- Strong
- solving and exploratory mindset, with the ability to rapidly evaluate and integrate new technologies. - Ability to work autonomously while collaborating effectively across multidisciplinary teams. - Clear and structured communication skills, both written and verbal. What you can expect:
- A
- funded startup supported by an experienced independent VC firm as lead investor. - Founders with senior and
- level experience, fostering a collaborative, high‑EQ working environment. - Competitive salary and benefits compared to similar startups and SMEs. - On‑site work within a fast‑growing, high‑performing team. - A strong people‑centric culture where collaboration, innovation, and shared accountability are core values. We strongly believe that working together, side by side in the office, is fundamental to building trust, accelerating learning, and delivering meaningful impact. Application Process:
- Applications must be submitted by e‑mail to info@inclitaseaweedsolutions.com, clearly stating the reference:ISS – Data and AI Engineer / Scientist- Applications must include:
- A detailed and structured curriculum
- Announcement
- Full name and contact details, including e‑mail address and telephone number#J-18808-Ljbffr