AI Engineer/ Machine Learning Engineer
Jobberman · Lagos, Portugal
Human Resources Services · 51-200 employees
About the role
The role involves designing and training ML models for speech-to-text, NLP, and geospatial analysis. Additionally, the engineer will build data pipelines and integrate these models into conversational platforms and health decision-making systems.
What they look for
Requirements
The candidate should be an early-career professional with 0-2 years of experience in machine learning and data processing. Proficiency in building APIs, managing databases, and handling structured and unstructured data is required.
Full description
Summary:
This role is ideal for a motivated early-career professional eager to contribute to cutting-edge projects in machine learning, natural language processing, and geospatial analytics. You will support the design, development, and integration of intelligent systems that power speech-to-text processing, NLP applications, and data-driven health decision-making platforms. By building robust data pipelines, optimizing model performance, and collaborating across cross-functional teams, you will play a key role in transforming complex data into actionable insights. Your work will directly impact system reliability, user experience, and the scalability of solutions used in real-world scenarios. This position offers a dynamic environment to grow technical expertise while contributing to impactful, mission-driven technology.
Responsibilities:
- Assist in designing, training, and evaluating machine learning models for speech-to-text, NLP, and geospatial analysis tasks.
- Build and optimize data processing pipelines for structured and unstructured data from diverse sources such as social media, satellite imagery, and crowdsourced inputs.
- Collaborate with software developers to integrate ML models into conversational platforms and applications.
- Contribute to data preparation activities including web scraping, feature engineering, and model validation.
- Develop and maintain software components including APIs, databases, and system extensions for geo-enabled health decision-making systems.
- Troubleshoot, debug, and resolve system issues to ensure high performance, reliability, and scalability.
- Test system functionality and performance to ensure alignment with project requirements and user needs.
- Work closely with data analysts and cross-functional teams to align technical solutions with project goals and technical specifications.
- Maintain clear, accurate, and comprehensive technical documentation for all system components and processes.
