Job 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.