Data Engineer Senior

3 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.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); 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); Over 300 protocols to offer you great discounts in different areas; Continuous professional development sponsored by our Training and Certification Department; Regular feedbackon 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.Position details- Seniority level: Associate- Employment type: Full-time- Job function: Consulting, Information Technology, and Engineering- Industries: Information ServicesIf you want to be part of a real People First organization, join us!Send your CV to ****** increase your chances of interviewing at Adentis Portugal by 2xGet notified about new Mechanical Engineer jobs in Lisbon, Portugal.We're unlocking community knowledge in a new way.Experts add insights directly into each article, started with the help of AI.#J-*****-Ljbffr