Tech Lead Ai Engineer

Senior Machine Learning Engineer

Salary: Up to €70, 000 + competitive bonus

Location: Portugal (Remote or Hybrid)

I am looking for a Senior Machine Learning Engineer to join a fast‑growing AI team focused on operationalizing cutting‑edge ML models and delivering robust ML pipelines at scale. This is an exciting opportunity to work on real‑world AI applications, optimize ML workflows, and contribute to a high‑performing, cross‑functional team.

What You’ll Do:

• Collaborate with data scientists to develop production‑ready model training pipelines
• Design scalable solutions and inference pipelines in distributed environments
• Implement model diagnostics, monitoring flows, and evaluation metrics
• Automate model deployment and create REST API endpoints for ML models
• Build scalable model serving workflows
• Optimize clusters for performance and scalability
• Develop and maintain internal ML tools and libraries

What They Are Looking For:

• Extensive software development experience using Python in large‑scale, high‑performance production environments
• Experience with cloud platforms like AWS or Azure
• Proficiency with Spark/Py
  Spark
• Excellent problem‑solving and communication skills

Unfortunately, this role does not provide sponsorship!

Senior AI Engineer

Job Title: AI Engineer

Location: Portugal

Work Regime: Full‑time & Remote (must be located in Portugal)

We are looking for an experienced AI Engineer to join our team. This Engineer will lead the development and deployment of generative AI solutions in enterprise environments. The role will focus on designing, implementing, and optimizing Large Language Model (LLM) applications, integrating AI services across Microsoft Azure, and building Copilot solutions. You should have extensive experience in AI/ML, cloud infrastructure, and leading technical projects.

Responsibilities and Tasks:

• Lead design, development, and deployment of Gen
  AI solutions
• Deliver autonomous Gen
  AI applications (Open
  AI, AI Search) and implement AI/ML workflows for business applications
• Prepare data and develop prototypes from concept to production, including planning, architecture, and solution validation
• Integrate external APIs, Microsoft 365 services (Graph API, Power Automate, Power Apps, Dataverse), and other enterprise systems with AI solutions

Mandatory Requirements:

• +5 years of experience in Machine Learning, Generative AI, or related fields
• Experience implementing Gen
  AI solutions, LLMs (GPT‑4o, O3) and Copilot implementations
• Experience with Azure AI Services for TTS, STT, OCR, embeddings, and data processing
• Backend API development experience, particularly with Fast
  API
• Dev
  Ops and MLOps practices, including Docker, CI/CD, Azure Container Registry, and secrets management (Azure Key Vault, Git
  Hub, Hashi
  Corp Vault)
• Azure Cloud services: Functions, Logic Apps, Open
  AI Service, AI Search/Foundry, Data Factory, Databricks, Blob Storage, Cosmos
  DB, and Application Insights

Complementary Requirements:

• Knowledge of Gemini 2. 5 Pro and Claude 3. 7 Sonnet
• Microsoft Copilot applications, Gen
  AI grounding, RAG setup, and vector search integration
• API integration, REST calls, OAuth 2. 0, Azure AD, and token‑based authentication

Important: Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.

Lead Mechanical Engineer

ENG Bauen continues to play an active role in supporting the wave of capital investment programmes shaping Portugal’s energy and industrial landscape. The Sines region is at the heart of this growth, with ongoing CAPEX activity spanning green hydrogen, ammonia, sustainable fuels, and advanced industrial infrastructure.

The Role:

• Lead Mechanical Engineer on a major green hydrogen and sustainable fuels project
• Deliver mechanical and piping designs within budget, schedule, and quality expectations
• Oversee execution of all mechanical engineering aspects, from concept through detailed design and construction support
• Collaborate with multidisciplinary teams and interface with stakeholders to ensure seamless delivery

The Person:

• Strong knowledge of static and rotating mechanical equipment in Energy, Petrochemical, or Industrial projects
• Experience with piping codes: ASME B31. 1, ASME B31. 3, BS EN 13480
• Proficient in CAD tools such as Auto
  CAD, Plant3D, E3D/PDMS, Caesar II
• 5+ years as a Lead/Senior Engineer within an EPC/EPCM environment
• Ability to lead and mentor engineering teams, with strong stakeholder management skills

Work from Home Lead Data Software Engineer

Agile
Engine is a top‑ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies.

What you will do:

• Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals
• Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment
• Collect, process, and prepare large datasets for analysis, feature engineering, and model training
• Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models
• Optimize data storage, retrieval, and processing performance for ML workloads
• Develop and maintain ETL (Extract, Transform, Load) processes and workflows
• Manage data versioning, storage, and access control for ML datasets
• Collaborate with Dev
  Ops and IT teams to ensure smooth deployment and scaling of ML models in production environments
• Stay up‑to‑date with emerging technologies, tools, and best practices in data engineering and ML infrastructure

Must haves:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• Proven experience as a Data Engineer, preferably in a role supporting Data Scientists
• Strong proficiency in programming languages such as Python, Java, or Scala
• Proficiency with data storage and processing technologies, including SQL databases, No
  SQL databases, and distributed computing frameworks (e. g. , Hadoop, Spark)
• Experience with data warehousing solutions and data integration tools
• Experience with data pipeline and workflow management tools: AWS Glue, Airflow, etc
• Knowledge of ML frameworks (e. g. , Tensor
  Flow, Py
  Torch) and ML model deployment
• Familiarity with cloud platforms (e. g. , AWS, Azure, Google Cloud) and containerization (e. g. , Docker, Kubernetes)
• Excellent problem‑solving skills and a collaborative mindset
• Excellent oral and written communication skills with a keen sense of customer service

Nice to haves:

• Experience in ad/marketing environment
• Experience working with Data Lakes
• Experience with Scala
• Experience with Glue/EMR/Redshift/Airflow
• Experience with Terraform

Senior Data Engineer – Team Lead & Project Delivery

Job Title: Senior Data Engineer – Team Lead & Project Delivery

Location: Lisbon, Portugal

Work Regime: Full‑time & Hybrid

We are looking for a Lead Data Engineer to design and maintain scalable data architectures and pipelines, ensuring high data quality and availability across complex environments. This professional will lead multidisciplinary teams and oversee end‑to‑end project delivery, from requirements gathering to deployment.

Responsibilities and Tasks:

• Design and implement scalable, secure, and resilient data architectures (on‑prem, cloud, or hybrid)
• Manage the full lifecycle of data projects, from requirements gathering to delivery and maintenance
• Develop and optimize ETL processes for handling large volumes of structured and unstructured data
• Maintain data pipelines and oversee ingestion processes across multiple platforms
• Promote best practices in data engineering, including version control, automated testing, CI/CD, and monitoring
• Collaborate with Data Governance, Analytics, and AI teams to ensure data consistency and usability
• Provide hands‑on expertise in ETL development, pipeline maintenance, and data ingestion using Azure Data Lake and Databricks
• Promote agile and Dev
  Ops practices within the team

Mandatory Requirements:

• Minimum of 10 years experience in Data Engineering
• Experience leading multidisciplinary teams
• Experience in end‑to‑end project delivery, from requirements gathering to deployment
• Strong communication skills

Stack Tech: Python, Scala, SQL, Spark, Mongo
DB, Postgre
SQL, Open
Shift, Azure Data Lake, Databricks

Complementary Requirements:

• Familiarity with emerging Big Data technologies
• Experience in designing data architectures
• Ability to promote agile and Dev
  Ops practices

Important: Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based. Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.