Machine Learning 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); - 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 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
- 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
- effective machine learning solutions. - Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
- Collaborate 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 focus on CRM and
- based solutions. - Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.
- Experience with pipeline automation and data flow monitoring.
- Hands-on experience with Azure Databricks for data processing and machine learning tasks.
- Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.
- Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e. g. , Tensor
Flow, Py
Torch, Scikit-Learn). - Strong analytical and
- solving skills, with the ability to work on complex
- driven projects. - Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Familiarity with Dev
Ops practices and tools is a plus. - Experience with CRM platforms and customer data analytics is an advantage.
- Availability to go to the office, twice a week.
If you want to be part of a real People First organization, join us! Send your CV to andre. lago@adentis. pt
Seniority level
Associate
Employment type
Full-time
Job function
Consulting, Information Technology, and Engineering
Industries
Information Services
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