Description

About Altran

Altran ranks as the undisputed global leader in Engineering and R&D services (ER&D). The company offers clients an unmatched value proposition to address their transformation and innovation needs. Altran works alongside its clients, from initial concept through industrialization, to invent the products and services of tomorrow.

About Tessella Analytics & A.I World Class Center

Tessella, Altran Group World Class Center for Analytics, is an international data science, analytics and AI technology consulting service provider. Over the last forty years, we partnered with some of the world’s leading organizations to build exceptional digital business capabilities that connect people and data intelligently. With nearly four decades of hard-won experience across a range of industries, we are uniquely prepared for your toughest challenges. Our work is varied, exciting and impactful: allowing business to improve profitability, reduce costs, streamline operations, etc.

We strongly believe in our mission: Using AI and our passion to continue improving people’s lives, data set by data set

If you are curious to know more about us showcase about or projects, please visit our home page: https://www.tessella.com/

Job Description

As an AI DevOps Engineer, you will be responsible for Designing, Building and Monitoring a cloud-native and scalable ecosystem to support ML/AI model CI/CD lifecycle..

Key Responsibilities

·       Define AI DevOps architecture that best fit to the client needs and existing data architecture

·       Perform benchmarking between several possible frameworks/solutions

·       Implement, configure chosen solutions, must likely integrating it with Azure Cloud

·       Lead and guide implementation teams and provide technical expertise.

·       Manage code deployments, fixes, updates and related processes

·       Implement automation tools and frameworks (CI/CD pipelines), utilizing best practices in continuous integration,

continuous deployment

·       Define and implement governance/Security policies

·       Performance tuning.

Requirements

·       Degree / Master in computer Science or similar with at least five(5) years of IT work experience

·       1+ years’ experience as DevOps/AIDevOps Engineer designing, implementing and monitoring seamless

end-to-end production machine learning models at scale

·       2+ years’ experience in Container Orchestration – Automate the deployment, management,

scaling of microservices using (Docker, Kubernetes, Helm) or similar

·       Relevant experience working with Machine Learning workflow and deployment tools like

(Mlfow, Kubeflow, Seldon, Pachyderm, Knime) or similar

·       Basic understanding of MlOps pipeline concepts like: Data Versioning, Feature Store, Model Store and

Machine Learning governance/security/traceability

·       Experience with Azure AI and Big Data Processing Analytics Stack (Data Bricks, Delta Lake)

·       Distributed ML Trainning Framework (Horovod, Distributed Tensorflow, kubeflow, dask)

·       Muito valorizado o conhecimento em plataformas: distribuídas de ML (horovod, Tensorflow), High Performance Computing, CICD;

·       Experience using monitoring tools, and monitoring applications in production environments (eg Prometheus)

·       Hands on experience in delivering production-level client-facing projects

·       Basic understanding of Machine Learning and AI Models

·       Fluent in English (written and spoken)

We offer

• Continuous training and Rapid career develop
• Possibility to participate in international projects
• Participation in attractive, motivating and challenging projects
• Good work life balance
• Great work environment and Team Spirit

Apply

Send us your application through our email [email protected]