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:
- Develop and implement machine learning models tailored to CRM and platform contexts.
- Design and deploy 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.
- Ensure seamless integration of machine learning models into existing systems and workflows.
- Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
- Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
- Utilize Azure Databricks for data processing, model training, and deployment.
- Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
- Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
- Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.
.NET FRAMEWORK,PYTHON DJANGO