AI/ML Consultant
1 day ago
Job Description: AI/ML Consultant.
Location: Manila-Hybrid.
Scope of Work
This Scope of Work outlines the responsibilities of the AI Machine Learning Consultant in developing models and tools that enhance data-driven decision-making across project lifecycle stages. The consultant will work closely with SovOps development and portfolio management teams to analyze operational data and improve project performance monitoring.
Detailed Tasks and/or Expected Output
AI/ML Model Development:
- Design and implement machine learning models to analyze project processing and implementation data.
- Apply natural language processing (NLP) techniques and LLMs to extract insights from unstructured data (e.g., project documents, reports, communications).
- Develop predictive models to identify trends, risks, and performance indicators.
Data Engineering and Integration:
- Clean, transform, and structure raw data from various sources for model training and analysis.
- Integrate AI/ML outputs into existing BIOC dashboards and reporting tools.
Insight Generation and Visualization:
- Translate complex data findings into clear, actionable insights for project teams.
- Develop visualizations and summaries to support decision-making and strategic planning.
Collaboration and Capacity Building:
- Work closely with SovOps and Portfolio Management teams to align AI solutions with operational needs.
- Provide guidance and knowledge transfer to internal staff on AI/ML methodologies and tools.
Documentation and Reporting:
- Prepare technical documentation, model specifications, and user guides.
- Report progress regularly to the Project Manager and relevant stakeholders.
Minimum Qualification Requirements
- Degree in Computer Science, Data Science, Artificial Intelligence, or related field.
- Minimum of 7 years of relevant experience in AI/ML application, preferably in development or portfolio management contexts. 8 years general experience.
- Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Experience with NLP, data mining, and working with unstructured datasets.
- Familiarity with ADB project data or similar development finance datasets is an advantage.
- Excellent analytical, communication, and collaboration skills.
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