Devoteam
Posted 4mo ago

Distributed Cloud | Machine Learning Engineer

Devoteam
Porto, Porto, Portugal
HybridFull Time
Responsibilities
  • Design pipelines
  • Build pipelines
  • Fine-tune models
Requirements
  • 3+ years experience as ML Engineer/Backend with ML focus
  • Python
  • TensorFlow/PyTorch/Scikit-learn
  • SQL
  • MLflow/Kubeflow/DVC
  • Cloud platforms
  • Docker
  • Degree in CS/Math/Engineering
  • English proficiency
Technical tools mentioned
PythonTensorFlowPyTorchScikit-learnSQLMLflowKubeflowDVCAWSGCPAzureDocker

Job description

Company Description:

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

Job Description:

As a Machine Learning Engineer, you will be responsible for building, deploying, and maintaining scalable ML solutions. You will sit at the intersection of Data Science and Software Engineering, ensuring that models move from research prototypes to reliable production systems.

  • Design and implement end-to-end ML pipelines for training, testing, and deployment.

  • Build and maintain automated pipelines (CI/CD for ML) to ensure seamless model versioning and lifecycle management.

  • Fine-tune model performance and ensure efficient inference at scale.

  • Implement observability to track model drift, performance metrics, and system reliability in production.

  • Work closely with Data Scientists to translate mathematical models into high-quality, production-grade code.

Qualifications:
  • 3+ years of professional experience as an ML Engineer or Backend Engineer with a focus on Machine Learning.

  • Strong expertise in Python and solid software engineering principles (OOP, Clean Code).

  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.

  • Proficiency in SQL and experience working with large-scale datasets and data warehousing.

  • Familiarity with tools like MLflow, Kubeflow, or DVC for model tracking and orchestration.

  • Experience with Cloud platforms (AWS, GCP, or Azure) and containerization using Docker.

  • Degree in Computer Science, Mathematics, Engineering, or a related quantitative field.

  • Professional level of English (written and spoken).

Additional Information:

Devoteam Group works for equal opportunities, promoting its employees based on merit, and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism, and excellence of our organization. All of our vacancies are open to people with disabilities.

About Devoteam

Global IT consulting firm providing digital transformation and cloud services.

Year founded
1995
Employees
11000
Organization type
Private
Latest investment
Raised $1.33B Private Equity (2021) — led by KKR
Headquarters
FR

Similar jobs

Machine Learning Engineer roles near Porto, Porto
3w
Save
Mark Applied
Hide
Senior Machine Learning Engineer
Porto, Porto, Portugal
HybridFull Time
ISS
ISSNasdaq Copenhagen: ISS: Provides global facility management and workplace experience services.
Senior-level experience in AI/ML platform, production GenAI (LLM/RAG/agents), Python, cloud, Kubernetes, CI/CD, platform controls, observability and strong English communication.
Python, Kubernetes, LangChain, LangGraph, pgvector, FAISS, Pinecone, Weaviate, Databricks, Microsoft Foundry, Azure AI, AWS Bedrock, Google Vertex AI
4mo
Save
Mark Applied
Hide
Machine Learning Engineer
Porto, Porto, Portugal
HybridFull Time
Wise Pirates
Wise Pirates: Digital marketing and AI consulting agency.
2+ YOEBachelor's or Master's in CS/Engineering; 2+ years ML experience; deployment and production of ML solutions; Python; cloud experience (GCP/AWS/Azure); ETL and data processing.
Python, GCP, Azure, AWS, scikit-learn, pandas, Spark MLlib, TensorFlow, PyTorch, LangChain, Keras, FastAI, Transformers, DeepSpeed, MLflow, Kubeflow, SageMaker, DVC, TFX, Airflow
9mo
Save
Mark Applied
Hide
Machine Learning Engineer
London or Porto
HybridFull Time
Condukt
Condukt: Automates business identity and regulatory compliance for fintechs.
3+ YOE3+ years in product-focused ML/AI roles; production-level Python; AI projects (prompting, fine-tuning, multi-agent, LLMs); strong communication; CS-related degree.
Python, Machine Learning, NLP, LLMs, AI frameworks
1d
Save
Mark Applied
Hide
Machine Learning Operations Engineer (f/m/div.)
Braga, Braga District, Portugal
HybridFull Time
Bosch
Bosch: Global manufacturer of automotive and industrial engineering technology.
3+ YOEMSc or PhD in a relevant field and 3+ years in MLOps, data engineering, DevOps, or similar roles; Python, Bash, Azure, Terraform, GitHub Actions, Kubernetes, and Linux experience required.
Terraform, Python, Bash, Azure, Microsoft Entra ID, GitHub Actions, Kubernetes, Ansible, GNU/Linux
4mo
Save
Mark Applied
Hide
Machine Learning Ops Engineer @JobCloud
Porto, Porto, Portugal
HybridFull Time
JobCloud
JobCloud: Switzerland's leading digital platform for recruitment and job searches.
5+ YOE5+ years in MLOps/DevOps, production ML deployment, cloud platforms, Kubernetes, CI/CD, and data governance.
PyTorch, TensorFlow, cloud platforms (AWS, GCP, Azure), Kubernetes, CI/CD, Infrastructure as Code, REST API