Flexible Mlops Engineer: Build Scalable Ml Pipelines

With Just Over 9 Years Of Experience In The Portuguese Market, We Share Our DNA With More Than 200 Workers And Position Our Offer According To 3 Lines Of Service

Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);

R&D (Bootcamps,POC, Tech Lab);

Nearshore.

In ADENTIS, we focus on PEOPLE.

This Is Our Emotional Salary

Great Work-Life balance;

Very flexible organizational routine;

Health benefits(for you and your family);

Team Buildingactivities;

Over 300 protocols to offer you great discounts in different areas;

Continuous professional development sponsored by our Training and Certification Department;

Regular feedback on your performance through a personalized plan;

Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities

Maintain and evolve the Machine Learning Platform (Python, React, CosmosDB, Kafka, AKS) to support business needs in CRM and platform contexts.

Develop and implement machine learning models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.

Create and manage automated data pipelines for efficient data processing and model deployment, ensuring seamless integration of machine learning models into existing systems and workflows.

Enhance platform monitoring features in alignment with Data Science team requirements to ensure the quality, consistency, and reliability of data used for machine learning models.

Collaborate with Data Engineering (DE) and IT teams to identify and utilize data platforms that facilitate the development of data pipelines and feature stores.

Advance the MLOps discipline to include model versioning (model registry), dataset versioning, and experiment tracking to support an experimentation environment.

Utilize Azure Databricks for data processing, model training, and deployment, optimizing resources for efficient and cost-effective machine learning solutions.

Design and maintain scalable, high-performance infrastructure required for machine learning projects.

Work closely with IT and DevOps teams to manage cloud resources and deployment environments.

You Must Have

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

Proven experience as a Machine Learning Engineer or similar role, with a strong focus on CRM and platform-based solutions.

Proficiency in developing machine learning models for retention use cases, anomaly detection, and regression analysis.

Experience with pipeline automation, data flow monitoring, and hands-on experience with Azure Databricks for data processing and machine learning tasks.

Familiarity with cloud infrastructure management, preferably within the Azure ecosystem, and programming languages like Python, R, or Scala.

Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, and Scikit-Learn.

Strong analytical and problem-solving skills, coupled with excellent communication and collaboration abilities.

Familiarity with DevOps practices and tools, with experience in CRM platforms and customer data analytics as an advantage.

EU Citizenship or Portuguese Working Visa / Residency.

Availability for in-office collaboration one or two times per week.

If you want to be part of a real People First organization, join us!

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