Senior Data Scientist Generative AI Job in Portugal (Hybrid, LLM & MLOps)
📍 Location: eu
🏷 Type: Not specified
Job Intelligence
📍 More in this location:
Browse AI jobs in eu
🏷 Similar roles:
🌐 Explore all jobs:
View all AI job listings
Job Overview
This Senior-Level role focuses on building Generative AI and Machine Learning systems within a global semiconductor and photonics leader. Based in Portugal, this position targets professionals with 5+ years experience who can translate advanced AI concepts into production-ready solutions. The ideal candidate brings deep expertise in LLMs, MLOps, and classical ML, combined with strong stakeholder collaboration. You will operate at the intersection of AI engineering, data science, and enterprise deployment, driving impactful innovation in real-world applications.
🌍 Work Eligibility & Location
- 🌍 Visa Sponsorship: Not explicitly stated
- ✈️ Relocation Support: Not specified
- 🏠 Remote Type: Hybrid (25%)
- ⏰ Timezone Requirement: European working hours
- 🌐 Country Restrictions: Likely EU-based candidates preferred
- 🗣️ Language Requirement: English
This role operates under a Hybrid model in Portugal, making it most accessible to candidates already within or able to work in the EU. While visa sponsorship is not confirmed, multinational hiring suggests potential flexibility for highly qualified talent. Candidates should be prepared to align with European business hours and collaborate across global teams.
💰 Salary Intelligence
- 💰 Official Salary: Not disclosed
- 📊 Estimated Range: €60,000 – €95,000/year
- 📈 Level: Senior-Level
Although the company does not publish compensation, comparable Senior-Level AI roles in Portugal typically fall within the €60K–€95K range, depending on experience and specialization. Given the emphasis on Generative AI and enterprise deployment, this role likely sits in the upper quartile of the market, especially for candidates with proven LLM production experience.
📊 Role Breakdown
This position blends advanced AI development with production engineering. Approximately 40% of your time will focus on building Generative AI systems, including LLMs, prompt engineering, and AI agents. Another 25% is dedicated to MLOps and deployment, ensuring scalability, monitoring, and lifecycle management using modern frameworks. Around 20% involves classical data science tasks such as feature engineering, statistical modeling, and evaluation. The remaining 15% centers on cross-functional collaboration, translating technical outputs into business impact.
Key actions include designing AI architectures, optimizing model performance, reducing hallucinations, and implementing safety guardrails. You will also orchestrate AI agents capable of reasoning and interacting with enterprise systems, making this role highly strategic within the organization’s AI transformation roadmap.
🧩 Required Skills & Fit
- ✅ Must: Strong experience in Python and production-grade ML systems
- ✅ Must: Expertise in Generative AI, LLMs, and prompt engineering
- ✅ Must: Solid foundation in classical machine learning and statistical modeling
- ➕ Bonus: Experience with Azure AI services and cloud infrastructure
- ➕ Bonus: Familiarity with AI agents, Microsoft Copilot Studio, or enterprise integrations
📈 Difficulty & Competitiveness
- ⚡ Level: High
- 📊 Experience barrier: 5+ years
- 🧠 Skill complexity: Advanced (LLMs + MLOps + AI Agents)
- 🌍 Competition: Global talent pool
This is a high-difficulty role requiring 5+ years of hands-on experience across both traditional ML and cutting-edge Generative AI. The combination of LLM engineering, production deployment, and enterprise integration significantly raises the bar. Expect strong competition from candidates with real-world AI system deployment experience, not just research exposure.
🚀 Career Impact
- ⭐ Impact Rating: ⭐⭐⭐⭐☆
- 🏢 Brand value: Global semiconductor and photonics leader
- 📚 Skill growth: Enterprise-grade Generative AI systems
- 🚀 Future opportunities: AI Architect, Head of AI, Principal ML Engineer
This role delivers strong career acceleration by positioning you at the forefront of enterprise Generative AI adoption. You will gain exposure to production-scale AI systems, enabling transitions into AI leadership roles. The company’s global footprint enhances resume credibility, while the technical depth supports long-term progression into architect-level positions.
📋 Key Responsibilities
You will design and build Generative AI solutions using LLMs, including model selection, prompt engineering, and evaluation frameworks. A core responsibility is to deploy scalable ML systems using MLOps best practices, ensuring reliability and monitoring. You will develop AI agents capable of reasoning, taking actions, and interacting with data sources. Additionally, you will optimize model performance through evaluation pipelines, hallucination reduction, and safety guardrails. Collaboration is critical, requiring you to translate complex AI concepts into actionable insights for stakeholders while aligning with enterprise security and data governance standards.
🎯 Application Strategy
- 🎯 Best apply method: Apply directly via company careers page
- 🔥 Highlight: Production experience with LLMs and AI agents
- 🔥 Highlight: Proven MLOps and deployment pipelines
- ❌ Avoid: Over-focusing on academic projects without production impact
- ❌ Avoid: Generic resumes lacking measurable outcomes
🧠 Application Optimization (Adaptive)
This section is personalized by seniority.
How to use: Paste into ChatGPT, Claude, or Gemini
You are a senior technical recruiter.
Role:
Senior Data Scientist – Generative AI & ML focused on LLMs, MLOps, and AI agents in enterprise environments.
Candidate:
[Paste CV]
Optimize for this role.
Focus:
Signal strength
Role alignment
Missing high-impact elements
🧠 Fit & Positioning Analysis
Evaluate your match before applying.
Act as a hiring panel.
Evaluate:
Match score
Strengths
Gaps
Positioning improvements
📅 Application Signals
This role is currently open with no fixed deadline, but applications are reviewed continuously, creating high urgency for early applicants. Given the global competition for senior AI roles, especially those involving Generative AI, applying early significantly increases visibility. Candidates with demonstrated production AI experience will stand out immediately.
🚀 Resume Optimization for This Role
⚡ Takes less than 2 minutes — optimize specifically for this position before applying
🎯 0/5 completed
Tailoring your CV to this exact role significantly increases your chances.
✅ Ready to apply — your profile is aligned with this role
🔗 Apply for this Job
✅ Job Source & Verification
This job listing originates from the company’s official careers page, ensuring high source credibility and accuracy of information. Details such as responsibilities, requirements, and structure align with enterprise hiring standards. The posting was last updated April 2026, indicating it is actively being recruited for and remains a valid opportunity for qualified candidates.
