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, Ne Xel, 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, Cosmos DB, 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 Dev Ops 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 Tensor Flow, Py Torch, and Scikit-Learn.- Strong analytical and problem-solving skills, coupled with excellent communication and collaboration abilities.- Familiarity with Dev Ops 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.