Job Brief

• We are looking for a Lead Data Scientist to join a tech professional services company part of an international group, to work from the Lisbon office 2x a week. 
  
  

Responsibilities:

• Design, develop, and deploy machine learning and AI solutions
• Build and fine-tune Generative AI models, including LLM-based systems
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Work with vector databases to support semantic search and AI workflows
• Apply NLP techniques to solve real-world business problems
• Collaborate with cross-functional teams in an agile environment
• Contribute to production-ready AI systems following MLOps best practices

Requirements & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
• 3+ years of practical experience in Machine Learning and AI development
• Strong hands-on experience with Generative AI and Large Language Models (open-source and commercial)
• Solid knowledge of RAG architectures and vector databases
• Advanced Python skills with frameworks such as TensorFlow, PyTorch, and Hugging Face
• Strong understanding of NLP concepts, models, and architectures
• Experience with classical ML techniques (e.g., decision trees, SVMs, clustering, neural networks)
• Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments
• Knowledge of MLOps tools and practices
• Strong analytical thinking and problem-solving skills
• Clear communication skills and ability to work effectively in a team
• Fluency in English (C1 level or above)

Next Steps

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief

• We are looking for a Lead Data Scientist to join a tech professional services company part of an international group, to work from the Lisbon office 2x a week. 
  
  

Responsibilities:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related field
• 5+ years of professional experience as a Data Scientist
• Proven experience leading and managing Data Science teams
• Demonstrated experience developing Generative AI solutions, including the use of transformers, embeddings, and prompt engineering
• Strong command of traditional Machine Learning techniques, including supervised and unsupervised learning
• High proficiency in Python and common libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn
• Experience with PySpark and handling large-scale Datasets
• Practical knowledge of MLOps practices, including model versioning, experiment tracking (e.g., MLflow), deployment, and monitoring

Requirements & Skills:

• Contribute to the design and development of Generative AI solutions, including transformer-based models, embeddings, and LLM-driven pipelines
• Build, train, and optimize traditional Machine Learning models for multiple use cases (classification, regression, clustering, etc.)
• Explore, clean, and transform data, applying solid feature engineering practices to improve model performance
• Support the automation, reproducibility, and scalability of data science pipelines using MLOps tools, ensuring continuous monitoring and maintenance in production
• Communicate analytical insights clearly, with a strong focus on business impact and practical application
• Stay up to date with the latest trends, tools, and best practices in AI, Machine Learning, and cloud technologies
• Lead and mentor a growing team, acting as both a technical and behavioral reference
• Participate in pre-sales activities and contribute to the preparation of technical proposals

Next Steps

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief:

As a Site Reliability Engineer, you will ensure the reliability, scalability, and performance of our cloud-based systems. You will collaborate with product engineering squads to design resilient solutions, improve system stability, and empower teams to deliver features with confidence. Join an innovative tech company revolutionizing software testing with an AI-powered, codeless automation platform. 

Responsibilities:

• Design and implement cloud-native solutions that meet user needs and business requirements.

• Propose and execute architectural or system improvements to enhance reliability, stability, and throughput.

• Collaborate with the SRE team to plan and refine cloud infrastructure enhancements.

• Respond to system incidents, perform root cause analysis, and implement preventive measures.

• Build, maintain, and monitor infrastructure using Terraform and AWS, while supporting Java backend systems.

• Work closely with product teams to ensure robust delivery of features with built-in observability and reliability.

• Lead incident management activities, including post-incident reviews and documentation.

• Identify and implement initiatives to improve system reliability, performance, and efficiency.

• Provide guidance and support to cross-functional teams in areas such as monitoring, CI/CD pipelines, release engineering, and infrastructure as code.

Requirements & Skills:

• Minimum 5 years of experience with open-source technologies and cloud computing environments, preferably AWS.

• Experience with containerized and/or serverless architectures (e.g., ECS).

• Understanding of relational databases (RDBMS), asynchronous message processing pipelines, and software release/migration processes.

• Programming experience in at least one major language.

• Ability to document knowledge, conduct workshops, and support team upskilling.

• Master’s degree (or equivalent work experience) in engineering, computer science, or software discipline.

• Experience working within a business environment, managing stakeholders, and delivering reliable solutions.

Next Steps:

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Job Brief

We are seeking an Embedded Systems Engineer to join a fast-growing European deep-tech company specializing in quantum computing and artificial intelligence. This role is based in the company’s offices in San Sebastián or Barcelona and is offered as a 6-month fixed-term contract, with the possibility of renewal. The position follows a hybrid working model (3 days per week onsite and 2 days remote) and is open to candidates willing to relocate. You will work on cutting-edge technologies focused on optimizing and deploying AI models on constrained devices, collaborating with multidisciplinary teams in a highly innovative, international, and fast-paced environment.

Responsibilities

• Design, develop, and optimize embedded systems and firmware for AI model deployment

• Adapt and compress machine learning models for efficient inference on resource-constrained hardware

• Implement and optimize inference pipelines using industry-standard frameworks

• Work closely with AI, hardware, and software teams to ensure end-to-end system performance

• Apply quantization and model compression techniques without compromising accuracy

• Optimize performance at system level, including memory usage and computation efficiency

• Contribute to testing, validation, and continuous integration processes

• Document technical solutions and collaborate effectively across teams

Requirements

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Physics, or a related discipline (or equivalent professional experience)

• 2–5 years of professional experience in embedded systems, firmware development, or low-level/system programming

• Proven experience deploying and optimizing machine learning models on embedded or constrained devices

• Strong programming skills in Python, C, and/or C++

• Solid knowledge of model quantization and compression techniques

• Hands-on experience with inference optimization frameworks (e.g., TensorRT, ONNX Runtime, vLLM or similar)

• Familiarity with embedded hardware platforms, including ARM-based systems, mobile GPUs, and AI accelerators

• Strong understanding of computer architecture, memory management, and performance optimization

• Experience with Git, automated testing, and CI/CD pipelines

• Strong communication skills and ability to work in cross-functional teams

Next Steps

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Job Brief

• We are seeking multiple Machine Learning Engineers to join a hyper-growth tech company in its offices in Zaragoza, Spain, for a 6-month contract, with a renewable possibility. 
  
  

Responsibilities:

• Design and optimize Large Language Models using quantum-inspired techniques to address complex, real-world use cases.
• Build and deploy LLM-based solutions, including RAG pipelines and AI agents, with a focus on performance and scalability.
• Evaluate, benchmark, and fine-tune models to improve accuracy, robustness, and computational efficiency.
• Develop custom deep learning solutions across multiple domains, including areas beyond LLMs such as computer vision.
• Act as a technical expert, identifying opportunities for innovation and proposing model and architecture improvements.
• Contribute to a strong engineering culture through documentation, code reviews, knowledge sharing, and mentoring.

Requirements & Skills:

• Academic background in AI, Computer Science, Data Science, or a related field (Bachelor’s, Master’s, or PhD).
• 1 to 3 years of hands-on experience designing, training, or fine-tuning deep learning models, particularly transformers and/or computer vision.
• Strong practical expertise with transformer ecosystems, including PyTorch and Hugging Face libraries (Transformers, Accelerate, Datasets).
• Solid mathematical foundations and deep understanding of neural networks, training dynamics, and inference.
• Experience with GPU-based infrastructures, cloud environments (ideally AWS), and deploying models using containers (Docker).
• Strong problem-solving and communication skills, with the ability to collaborate effectively in fast-paced teams; research publications are a plus, and English fluency is required.

Next Steps

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Job Brief

We are seeking a Data Engineer (Azure and Databricks) to design, build, and maintain the data infrastructure and pipelines that support the data-driven decision-making. In this role, you will collaborate with cross-functional teams to ensure data availability, reliability, and accessibility, enabling the organization to extract insights and deliver impactful solutions. This is a full-time remote position, in Portugal.

Responsibilities

• Design and build data models to support Data Science, Business Intelligence, and downstream datasets.

• Develop APIs and data products that integrate data across systems and processes.

• Monitor data pipelines and proactively communicate issues to leadership and stakeholders.

• Collaborate with business partners and developers to document and validate requirements for new initiatives.

• Coordinate cross-functional and cross-team efforts in partnership with developers and leadership.

• Deliver high-quality data engineering solutions aligned with business needs and technical best practices.

• Build and maintain ADF pipelines, Data Flows, Azure Functions, and Logic Apps.

• Work with Azure SQL Database, including stored procedures and views.

• Explore and document Power BI reports and datasets.

Requirements and Skills

Required

• Proven experience as a Data Engineer or Data Quality Engineer in fast-paced environments.

• Expert proficiency in SQL and SQL-like query languages.

• Strong experience with Python and structuring Python-based projects.

• Experience with Azure Data Factory and Databricks.

• Solid background in ETL and ELT development.

• Strong knowledge of data modeling methodologies (Kimball, Inmon, Data Vault).

• Hands-on experience with Azure SQL Database, stored procedures, and views.

• Experience with Azure Functions and Logic Apps.

Nice to Have

• Experience building automated unit and integration testing frameworks for data projects.

• Previous experience in Business Intelligence or as a Business Analyst.

• Familiarity with Infrastructure as Code tools (Terraform or CloudFormation).

• Experience with Tableau, Power BI, or Spotfire.

• CI/CD automation experience (GitLab preferred).

• Experience with batch and streaming data pipelines.

• Experience ingesting third-party data using APIs.

• Familiarity with integrating data platforms into observability tools.

• Expertise in predictive modelling.

• Strong communication and collaboration skills across technical and non-technical audiences.

Next Steps

Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief:

• Our client is seeking an AI Tech Lead to lead and mentor an engineering team focused on developing and deploying different AI Solutions.
  
  

Responsibilities:

• Drive the end-to-end delivery of AI initiatives from concept and design through deployment and ongoing optimization
• Provide hands-on leadership and mentorship to engineering teams, ensuring alignment on technical direction and best practices
• Define and communicate a clear technical vision, fostering strong collaboration across teams and stakeholders
• Architect and implement scalable, secure, and high-performance AI systems
• Leverage deep expertise with diverse AI Models, frameworks, and toolsets to shape design and implementation strategies
• Tackle and resolve complex engineering challenges inherent in large-scale AI development
• Stay actively engaged in code reviews, model experimentation, and technical validation to maintain engineering excellence

Requirements and Skills:

• Demonstrated success in leading and mentoring AI and software engineering teams to deliver impactful POCs
• Skilled at integrating AI capabilities into existing systems, from intelligent chatbots to advanced image analysis solutions
• Deep understanding of modern AI models, frameworks, and end-to-end deployment strategies
• Proven ability to architect secure, scalable, and high-performance AI infrastructures
• Experienced in managing complex projects across their full lifecycle, from planning to production
• Strong communicator, able to translate complex technical concepts into clear, actionable insights for diverse audiences
• Remains hands-on in software development, system integration, and technical validation 

Next Steps:

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief

We’re looking for an Azure Migration Specialist to lead or participate in projects migrating infrastructure, applications, and data from on-premises or hybrid environments to Microsoft Azure. You will work in a cross-functional team, collaborate with stakeholders, and ensure migrations are executed efficiently, securely, and with minimal interruptions.

Responsibilities

• Assess current on-premises infrastructure, servers, applications, dependencies, network, storage, and databases to define the migration plan.

• Perform discovery and dependency analysis across applications, services, and data.

• Select the most appropriate migration strategy: lift & shift, refactor, rearchitect, or rebuild.

• Design the target Azure architecture, including networking, identity, security, VMs, storage, high availability, and disaster recovery (DR).

• Utilize Microsoft migration tools (Azure Migrate, Azure Site Recovery, Database Migration Service) or third-party tools.

• Develop automation and Infrastructure-as-Code (IaC) for provisioning using Terraform, ARM, Bicep, PowerShell, or Azure CLI.

• Plan and execute migration tests and pilot runs to validate functionality prior to full cutover.

• Manage cut-over, data migration, synchronization, and minimize downtime.

• Post-migration: monitor performance, optimize costs, ensure security and compliance, and make necessary adjustments.

• Document every stage of the project, including runbooks, playbooks, and rollback plans.

• Coordinate with cross-functional teams (infrastructure, networking, security, applications, business) and manage project stakeholders.

Requirements and Skills

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Proven hands-on experience with Microsoft Azure: VMs, Azure SQL / Managed Instances, Azure Storage, VNets, NSGs, ExpressRoute / VPN, Azure AD / identity services.

• Experience with Azure migration tools: Azure Migrate, Azure Site Recovery, Database Migration Service.

• Solid cloud networking, security, governance, and compliance knowledge.

• Proficiency in automation and IaC: Terraform, ARM, Bicep, PowerShell, Azure CLI.

• Ability to diagnose infrastructure, performance, interdependencies, and migration-related issues.

• Knowledge of backup, disaster recovery, and high availability solutions.

• Experience in development with at least one framework, preferably .NET.

• Strong communication skills in Portuguese and English.

• Familiarity with agile methodologies or project management frameworks (Scrum, Kanban).

Next Steps

Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will guide you through the rest!

Job Brief

We are looking for a Data Quality Engineer with a strong analytical mindset and technical expertise to ensure the integrity, reliability, and performance of data across complex systems. In this role, you will design and implement automated data quality checks, monitoring frameworks, and reporting dashboards to support data-driven decision-making. This is a great opportunity to work in a dynamic environment, collaborating with cross-functional teams to enhance data governance and ensure high standards of data accuracy.

Responsibilities

• Design, implement, and maintain data quality monitoring and alerting systems.

• Develop automated validation and testing scripts using Python and SQL to identify and resolve data inconsistencies.

• Collaborate with data engineering and analytics teams to define data quality metrics and ensure data reliability across platforms.

• Build and maintain dashboards to visualize data quality trends using tools such as Power BI, Plotly, or similar BI solutions.

• Support the creation and maintenance of data documentation and data governance standards.

• Continuously improve automation frameworks to streamline quality checks and reduce manual effort.

• Work closely with stakeholders to ensure that data meets business requirements and compliance standards.

Requirements and Skills

• Minimum of 3 years of experience as a Data Quality Engineer, Data Analyst, or similar role.

• Bachelor’s or Master’s degree in Data Science, Computer Engineering, Information Systems, or related fields.

• Strong proficiency in Python and SQL.

• Hands-on experience with automation frameworks and dashboarding tools (Power BI, Plotly, or other BI tools).

• Proven ability to implement and manage data monitoring and alerting systems.

Next Steps:

Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief

We are looking for a highly skilled Power BI Architect to join a dynamic team based in Alfragide. In this role, you will lead the design and implementation of advanced business intelligence solutions, ensuring that data visualization and reporting frameworks meet the highest standards of performance and scalability. You will play a key part in defining BI architecture best practices, guiding development teams, and collaborating with business stakeholders to transform data into actionable insights.

Responsibilities

• Define and implement Power BI architecture and best practices for enterprise-scale environments.

• Lead the design and optimization of data models, dashboards, and reports to support business decision-making.

• Collaborate with data engineers and analysts to ensure seamless data integration from multiple sources.

• Establish governance, security, and performance standards for Power BI workspaces and datasets.

Requirements and Skills

• Minimum of 6 years of experience in Business Intelligence, with a focus on Power BI architecture and development.

• Fluent English (mandatory); French is a plus.

• Excellent communication and stakeholder management skills.

Next Steps:

Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!