Mlops Engineer

With just over 7 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 Building activities;

- 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 three times a week.

If you want to be part of a real People First organization, join us Send your CV to andre.lago@adentis.pt