Mlops Engineer

Adentis Portugal; Viseu; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A technology services company located in Viseu is seeking a Machine Learning Engineer to maintain and evolve their machine learning platform. You will develop predictive models and collaborate with various teams while utilizing tools like Azure Databricks. A Bachelor's or Master's in Computer Science or a related field is required along with significant experience in the domain. This role supports a people-first culture with great work-life balance and continuous professional development opportunities.

Serviços

Great Work-Life balance

Flexible organizational routine

Health benefits

Team Building activities

Discounts from over 300 protocols

Continuous professional development

Qualificações

• Proven experience as a Machine Learning Engineer or similar role.
• Experience with pipeline automation and data flow monitoring.
• Strong analytical and problem-solving skills.

Responsabilidades

• Maintain and evolve the Machine Learning Platform to support business needs.
• Develop and implement machine learning models for various use cases.
• Collaborate with other teams to manage cloud resources.

Conhecimentos

Machine Learning

Data Analysis

Python

Azure Databricks

Collaboration

Formação académica

Bachelor's or Master's degree in Computer Science/Data Science

Ferramentas

TensorFlow

PyTorch

Scikit-Learn

CosmosDB

Kafka

Descrição da oferta de emprego

Overview

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 ******