Data Driven | MLOps Engineer

Lisboa, Portugal

Devoteam

Guiding IT Transformations with creative tech solutions in AI, Cloud, Cybersecurity & Sustainability. A trusted partner to 2500+ companies.

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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

  • Ensure the quality of the end-to-end lifecycle of our AI solutions: this includes everything from data preparation and model training to – POC and at scale – deployment, monitoring, and maintenance.
  • Close collaboration with the AI Tech Lead and other team members, helping the team to build and deliver AI-powered applications in a secure, efficient, and reliable manner.
  •  Advise and guide the team on how to automate and optimize the deployment of AI- powered applications. Take the lead on establishing best practices and adopting the most suitable frameworks, tools and platforms for machine learning operations in the team.
  • Develop, deploy, maintain and continually improve AI-powered applications and ML pipelines, which might include multiple components, such as data ingestion and transformation, model training and serving, frontend interfaces, databases and APIs.
  • Implement continuous integration and delivery (CI/CD) for our AI solutions.
  • Monitor model performance and data quality, and iterate on models in production.
  • Collaborate with data engineers, data scientists and software engineers to make models, applications or use cases operational.
  • Ensure the scalability and reliability of our AI and ML infrastructure.
  • Ensure our practices keep up to date with MLOps standards.
  • Actively share your knowledge with the team.

Qualifications

  • Fluency in one at least one OOP language such as C# or Java.
  • Experience with common data science languages, such as Python or R. 
  • Clear understanding of the machine learning project lifecycle.
  • Proficiency with open-source tools, such as Jenkins.
  • Experience with AWS Cloud Platform.
  • Proficiency in using query languages such as SQL, Spark SQL, etc.
  • Experience with container technologies like Docker and Kubernetes.
  • Experience with software build and release processes, unit testing, version control, etc.
  • Experience using Git source control.
  • A passion for ML/AI.
  • A collaborative and can-do attitude.
  • Excellent written and verbal communication skills, comfortable with audiences including product and engineering management.

Additional Information

The 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs AWS CI/CD Data quality Docker Engineering Git Java Jenkins Kubernetes Machine Learning ML infrastructure MLOps Model training OOP Open Source Pipelines Python R Security Spark SQL Testing

Region: Europe
Country: Portugal

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