CrawlJobs Logo

AI & Data Science Engineering Expert

Portugal, Lisboa · Job Posted April 23, 2026
Apply Position
Job Link Share

Job Description

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital transformation. As a leading tower company, we’re ushering in an era of technology-driven advances to help connect people, businesses, and internet-enabled devices like never before. We combine the scale, stability and quality of our tower network with the agility, optimism and energy of a start-up. As part of our team, you’ll work in a dynamic and multicultural environment that embraces open communication, collaboration and teamwork. If you’re ready to take responsibility and shape the future of telco infrastructure with us, then let’s level up in your career and reach the top – together.

Job Responsibility

  • Develop and operationalize machine learning and generative AI models for high-impact business use cases
  • Design and implement data science models, including feature engineering and rapid prototyping
  • Build and automate AI pipelines, integrating them into business processes and tools
  • Manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment
  • Design and deploy GenAI applications such as content summarization, intelligent document processing, and chatbot assistants
  • Collaborate with data engineers and architects to align AI components with enterprise data architecture
  • Translate complex AI models into actionable business insights through compelling storytelling

Requirements

  • University degree (Bachelor’s or Master’s) in Data Science, Computer Science, Statistics, or a related field
  • Minimum of 3 years of hands-on experience in building and deploying machine learning models
  • At least 2 years working with cloud-based AI services, preferably on Google Cloud Platform (e.g., Vertex AI, BigQuery ML)
  • Strong proficiency in Python and experience with ML/GenAI libraries (scikit-learn, TensorFlow, Hugging Face, OpenAI SDK)
  • Proven experience with LLM-based applications, RAG patterns, and agentic workflows
  • Knowledge of MLOps and GenAIOps workflows, including model versioning and performance tracking
  • Fluency in Business English (C1 level written and spoken)

What we offer

  • Diverse, multicultural setup based on values – Accountability, Respect, Teamwork, and Trust
  • Attractive salary package
  • Meal Allowance delivered on Pluxee card - €10.20/day
  • Pension Plan
  • Full Health Insurance for employees and co-payment for family members
  • Life Insurance
  • 7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
  • Parking Slot

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

AI & Data Science Engineering Expert

8 matching positions

Expert AI & Data Science

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital tran...
Location
Location
Portugal , Lisboa
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A successfully completed Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
  • At least three years of hands-on experience in building and deploying machine learning models, including a minimum of two years working with cloud-based AI services, preferably on Google Cloud Platform (e.g. Vertex AI, AutoML, BigQuery ML)
  • Strong proficiency in Python, with experience in ML and GenAI libraries (e.g. scikit-learn, TensorFlow, Hugging Face, OpenAI SDK)
  • Experience developing and deploying LLM-based applications (chatbots, summarizers, semantic search)
  • Knowledge of MLOps and GenAIOps workflows, model retraining, and monitoring
  • Understanding of GenAI architectural patterns such as RAG, agentic workflows, and embedding stores
  • Strong command of SQL and working with structured and semi-structured data
  • Familiarity with APIs and tools for integrating GenAI capabilities into enterprise applications
  • Extensive professional experience in distributed, multinational and complex organizations
  • Fluent English (C1) skills written and spoken
Job Responsibility
Job Responsibility
  • You will develop and operationalize machine learning and generative AI models for high-impact business use cases
  • You will design and implement data science models, including feature engineering and rapid prototyping
  • You will build and automate AI pipelines, integrating them into business processes and tools
  • You will manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment
  • You will design and deploy GenAI applications for use cases such as content summarization, intelligent document processing, and chatbot assistants
  • you will ensure performance optimization and cost-efficiency of AI models in cloud environments
  • You will collaborate with data engineers and architects to align AI components with enterprise data architecture
  • You will work closely with BI and automation teams to operationalize AI insights across platforms
  • You will contribute to the standardization of reusable GenAI components, prompts, and evaluation techniques
  • You will ensure alignment with responsible AI guidelines, data privacy requirements, and IT security standards
What we offer
What we offer
  • A diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
  • An attractive salary package
  • Meal Allowance: Delivered on Pluxee card - €10.20/day
  • Pension Plan
  • Full Health Insurance: For employees and co-payment for family members
  • Life Insurance
  • 7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's.
  • Parking Slot
  • Fulltime
Read More
Arrow Right

Principal Software Engineering Manager - Data Science & Engineering

The MSRC Data Science team is responsible in building data pipelines, data minin...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
  • Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same
  • Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
  • Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
  • Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
  • Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
  • Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared
  • Guides the architecture of scalable pipelines and datasets
  • Influences the direction of the team
  • Begins to anticipate potential data pipeline issues and provides solutions
  • Fulltime
Read More
Arrow Right

Senior Manager, Data Science - AI Foundations

Senior Manager, Data Science - AI Foundations. Data is at the center of everythi...
Location
Location
United States , McLean; New York; San Jose
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics
  • Currently has, or is in the process of obtaining a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
  • Currently has, or is in the process of obtaining a PHD in a quantitative field plus 2 years of experience performing data analytics
  • At least 2 years of experience leveraging open source programming languages for large scale data analysis
  • At least 2 years of experience working with machine learning
  • At least 2 years of experience utilizing relational databases
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team to deliver AI powered products that change how developers write software
  • Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions
  • Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows
  • Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
  • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features
  • Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems
  • Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Head of Data Science - Generative AI

We are seeking an inspirational and strategic Head of Data Science to lead our G...
Location
Location
Spain , Barcelona
Salary
Salary:
Not provided
n26.com Logo
N26
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • An advanced degree (Master's or PhD) in a quantitative discipline such as Computer Science, Data Science, or Mathematics/Statistics is highly preferred
  • Significant professional experience (8+ years) in the development, production, and scaling of ML/AI solutions
  • Proven leadership experience (5+ years) managing, mentoring, and scaling Data Science or AI/ML teams
  • Exceptional strategic thinking and a track record of defining and executing ambitious technical roadmaps
  • Mastery of common machine learning algorithms, deep learning principles, and generative AI architectures
  • Strong programming proficiency in Python and experience with generative AI frameworks, such as LangChain and LangGraph
  • Demonstrated ability to drive a team to write production-ready, high-quality code
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and executive leadership
  • Proven ability to continuously learn, challenge the status quo, and drive proactive applied research around the latest advances in generative AI and machine learning
  • English full professional proficiency
Job Responsibility
Job Responsibility
  • Architect and drive the end-to-end AI transformation across N26
  • Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function
  • Lead, mentor, and grow a diverse team of experienced AI experts
  • Provide strategic and architectural guidance on the delivery of robust and compliant generative AI solutions
  • Oversee cutting-edge AI projects end-to-end, driving best practices from applied research to scalable production deployment
  • Partner closely with Product Managers, Backend Engineering, Compliance, and Executive Leadership
What we offer
What we offer
  • Accelerate your career growth by joining one of Europe's most talked about disruptors
  • Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation
  • Premium subscription on your personal N26 bank account
  • Subscriptions for friends and family members
  • Additional day of annual leave for each year of service
  • A high degree of autonomy and access to cutting edge technologies
  • A relocation package with visa support for those who need it
  • Fulltime
Read More
Arrow Right

Senior AI & Data Strategy Expert

At Vantage Towers, we're on a mission to power Europe's sustainable digital tran...
Location
Location
Portugal , Lisboa
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • University degree in IT, computer science, engineering, business with IT focus, or equivalent experience
  • 5+ years of experience in data architecture, data engineering, or related roles, incl. 2+ years in cloud environments (ideally GCP)
  • Strong knowledge of data architecture principles (data modeling, integration patterns, pipeline orchestration, storage design)
  • AI enablement (platform-side): hands-on exposure to supporting AI/ML workloads on the data platform (e.g., integrating data/pipelines for Vertex AI / BigQuery ML-style use cases, and setting up the data access + monitoring needed for reliable production use)
  • Interoperability experience: enabling cross-platform access to governed data via standard interfaces/protocols (e.g., MCP / A2A concepts)
  • Proficient programming skills (Python or Java) and advanced SQL
  • Practical experience with BI/reporting platforms, preferably Power BI
  • Experience designing or implementing scalable, cloud-native data solutions
  • Proven experience working across distributed and multinational teams
  • Fluent English (C1)
Job Responsibility
Job Responsibility
  • Design scalable, secure, future-proof data architectures that form the backbone of our VT Data Lake and analytics landscape
  • Define end-to-end solution designs for data ingestion, transformation, storage, and consumption across platforms (incl. GCP)
  • Build and optimize data pipelines and data models (ETL/ELT, orchestration, storage design) to support analytics and reporting at scale
  • Enable selected AI/ML use cases by defining governed data access patterns and curated datasets that provide trusted context
  • Develop self-service BI and reporting that translates complex datasets into actionable insights (e.g., Power BI)
  • Lead technical design reviews, assess architectural trade-offs, and ensure solutions follow best-practice patterns
  • Guide and challenge external vendors to deliver high-quality, maintainable, compliant data and analytics solutions
  • Establish data governance principles, standards, and documentation to ensure architectural consistency and data quality
  • Explore and pilot emerging technologies relevant to modern data architecture (including agentic AI enablement where useful)
What we offer
What we offer
  • Diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
  • Attractive salary package
  • Meal Allowance: Delivered on Pluxee card - €10.20/day
  • Pension Plan
  • Full Health Insurance: For employees and co-payment for family members
  • Life Insurance
  • 7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
  • Parking Slot
  • Fulltime
Read More
Arrow Right

Senior Expert Geo-Analysis & Data Science

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital tran...
Location
Location
Spain , Madrid
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BSc/MSc in Data Science, AI, Computer Science, or a related technical field
  • Strong proficiency in Python and SQL for data analysis, modelling, and workflow automation
  • Hands-on experience with GIS and spatial analytics tools (e.g. QGIS, spatial databases, geospatial Python libraries)
  • Experience applying ML techniques to forecasting, classification, clustering, and optimisation problems
  • Familiarity with cloud environments as execution platforms
  • Strong experience in data science applied to geospatial and network-related problems
  • Proven ability to handle large, multi-source datasets and build complex analytical pipelines
  • Expertise in spatial analytics, forecasting, and quantitative modelling
  • Ability to apply ML methods pragmatically as analytical tools, not as standalone AI products
  • Strong business acumen, with the ability to frame analyses around commercial and strategic questions
Job Responsibility
Job Responsibility
  • Lead advanced geo-analyses and demand forecasting using network, geospatial, traffic, demographic, and commercial data sources
  • Apply data science and ML techniques (e.g. forecasting models, clustering, spatial modelling, optimisation) to geo-intelligence use cases
  • Perform large-scale data processing and feature engineering to support commercial and strategic analyses
  • Design and automate geo-analytics and data preparation workflows to improve scalability, consistency, and efficiency
  • Translate complex analytical outputs into clear, decision-oriented insights for Product, Commercial, and senior stakeholders
  • Support strategic initiatives including network densification, capacity evolution, in-building solutions, and M&A evaluations
  • Collaborate with IT and data platform teams as a consumer of infrastructure and contributor of analytical requirements, with platform and architectural ownership remaining with IT
  • Act as a senior reference within the Geo-Intelligence team, coaching analysts on advanced analytical methods and best practices
What we offer
What we offer
  • hybrid work
  • Competitive salary
  • Intensive Summer Schedule
  • Intensive schedule every Friday
  • Health Insurance
  • Life insurance
  • 25 days holiday + December 24th and 31st
  • Restaurant tickets
  • Online training
  • Pension Plan
  • Fulltime
Read More
Arrow Right

Audit Director – AI Technology, Cyber, Data and GenAI Engineering

The Audit Director – AI Technology, Cyber, Data and GenAI Engineering is a senio...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience in a related role
  • Experience in cyber security, technical architecture, cloud services and integration patters related to AI and GenAI applications
  • In-depth understanding of technical architecture, system engineering with AI/GenAI focus
  • Preferably with audit experience, subject matter expert in AI Technology, Cyber, Data and GenAI Engineering
  • Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar
  • AI-related certifications are a plus
  • Executive presence and expert in building and maintaining strong open relationships with executive stakeholders
  • Ability to quickly comprehend the full risk implications of complex global issues
  • Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions
  • Strong leadership skills including a track record of identifying and developing world class talent
Job Responsibility
Job Responsibility
  • Develop the strategy and direct the execution of a portfolio of concurrent assurance activities relating to AI Technology, Cyber, Data and GenAI Engineering
  • Act as a trusted subject matter experts on AI Technology, Cyber, Data and GenAI Engineering in financial services across the IA team
  • Partner with IA Technology and Business Enablement team to scale AI assurance across IA work programs
  • Lead and support AI audit engagements, ensuring that AI/GenAI systems are assessed against good architectural practices, security and safety design
  • Assessing GenAI platforms and tooling including vector databases, storage, orchestration frameworks, and GenAI-related infrastructure
  • Assessing security and safety controls for AI, GenAI and agentic AI implementation
  • Assessing approaches for red-teaming, safety testing, alerting
  • Assessing suitability of testing, reviews and validation of AI, GenAI and agentic AI from infrastructure, cyber security point of view
  • Assessing internal and external integration, use of AI / GenAI based APIs, gateways from stability, security point of view
  • Assessing GenAI observability and monitoring focusing on telemetry specific to GenAI and agentic systems
What we offer
What we offer
  • Generous holiday allowance starting at 27 days plus bank holidays
  • increasing with tenure
  • A discretional annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Exclusive discounts for employees, family, and friends
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right

Senior Audit Manager – AI Technology, Cyber, Data and GenAI Engineering

The Senior Audit Manager is within the AI Technology, Cyber, Data and GenAI Engi...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Previous experience in a related role
  • Sound understanding in AI Technology, Cyber, Data and GenAI Engineering
  • Understanding of GenAI security, data and operational architecture
  • Understanding of financial services regulations and how they intersect with AI/GenAI e.g. conduct risk, operational resilience, data protection, algorithmic trading, AML/KYC, consumer protection
  • Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar
  • Demonstrated successful experience in business, functional and people management
  • Proven ability to execute concurrently on a portfolio of high quality deliverables according to strict timetables
  • Demonstrated ability to implement continuous improvement and innovation in audit tools and techniques
  • Consistently demonstrates clear and concise written and verbal communication
  • Demonstrated ability to remain unbiased in a diverse working environment
Job Responsibility
Job Responsibility
  • Deliver audit reports, Internal Audit and Regulatory issue validation and business monitoring and governance committee reports relating to AI Technology, Cyber, Data and GenAI Engineering
  • Act as a trusted subject matter experts on AI Technology, Cyber, Data and GenAI Engineering across the IA team
  • Oversight of portfolios within the AI Technology, Cyber, Data and GenAI Engineering team including stakeholder engagement, assessment of key emerging and inherent risks, etc
  • Participate in business initiatives and pro-actively advise and assist the business on change initiatives
  • Implement integrated auditing concepts and technology, and follow trends in the Audit field and adapt them for the Audit function
  • Identify solutions for a variety of complex and unique control issues, utilizing complex judgement and sophisticated analytical thought
  • Analyse report findings, and recommend interventions where needed, proposing creative and pragmatic solutions to risk and control issues
  • Partner with Directors and Managing Directors to develop approaches for addressing broader corporate emerging issues
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards
  • Fulltime
Read More
Arrow Right