Machine Learning

About Welvaart

On a daily basis, we assume commitments and present solutions to our stakeholders in order to create a structure of human values, based on professionalism, honesty and rigor.

With a management based on Human Centered Design, we take care of our professionals with consistent career plans, but flexible with their needs and expectations of evolution. Our management team guarantees an empathetic and present leadership that will provide superior technological engagement and delivery to our clients' projects and products.

Role

• Develop, implement and optimize Machine Learning (ML) pipelines for model training, calibration and inference;
• Create and manage scalable infrastructures for running ML workloads, ensuring reproducibility and traceability;
• Design and implement inference flows, including batch inference and online inference;
• Monitoring and guaranteeing the quality of models through techniques such as profile checking, data drift and model drift;
• Designing CI/CD pipelines for Analytics with MLOps, ensuring efficiency in the implementation and monitoring of models;
• Implement solutions for secure access to datasets and monitoring of inference pipelines;
• Working with Spark (RDD and Dataset APIs) in Python or Scala to process and handle data;
• Apply agile methodologies and use tools such as JIRA and Confluence to manage projects and tasks.

We are looking for

• Degree in Software Engineering, Computer Engineering or similar field;
• Minimum of 5 years' experience in Machine Learning Engineering;
• Technical knowledge of SQL, Python or Scala and related Machine Learning packages;
• Experience with Spark in Python or Scala, including RDD and Dataset APIs;
• Knowledge of designing ML pipelines, including package management, infrastructure, data profiling and distribution monitoring;
• Experience in designing inference flows, namely batch inference and online inference;
• Knowledge of implementing CI/CD pipelines for Analytics with MLOps;
• Experience in designing model monitoring schemes during the inference phase, including data drift (online) and model drift (offline);
• Knowledge of Agile methodology and experience with JIRA and Confluence tools (valued).

What you can discover with us?

• Be part of a tech start-up
• Different scopes of project in different sectors
• Structure of fairness and equity salary (Consultant Profile)
• Training & Certification
• Career Path management
• More than 30 Partnerships
• Welvaart Ambassador Program

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