JOB DETAILS:

International Water Management Institute Consultant – Machine Learning Engineer – LLM Chatbots Sri Lanka IWMI Jobs 2024

International Water Management Institute looking for “Consultant – Machine Learning Engineer – LLM Chatbots”. Applicants with an Advanced degree may apply on or before 13-Jul-24.

The International Water Management Institute has published a job vacancy announcement on 01/07/2024 for qualified applicants to fill in the vacant post of Consultant – Machine Learning Engineer – LLM Chatbots to be based in Colombo , Sri Lanka. For more jobs, please visit https://unjoblink.org

Company Name: International Water Management Institute

Job Title: Consultant – Machine Learning Engineer – LLM Chatbots

Duty Station: Colombo , Sri Lanka

Country: Sri Lanka

Application Deadline: 13-Jul-24

Responsibilities: 

1. Architecture Research Overview:

• Integration setup between large language models and open-source databases in a cloud environment.
• Technologies used and rationale behind their selection.
• Challenges encountered during integration and strategies to overcome them.
• Advantages and potential impact of this integration.

2. Benchmarking Out-of-the-Box Technologies:

• Apply large language models to time series climate data and query natural language questions to extract insights.
• Evaluation criteria for benchmarking: performance, accuracy, scalability, ease of integration, etc.
• Benchmarking results of BART, ChatGPT-4, and other open-source large language models.
• Comparison of out-of-the-box technologies’ strengths and limitations in handling queries and data processing.

3. Computer Vision Methods for LiDAR Data Analysis via Natural Language Queries:

• Introduction to computer vision techniques applied to LiDAR data analysis.
• Exploration of natural language query methods for extracting insights from LiDAR data.
• Case studies or examples showcasing the effectiveness of natural language queries in analyzing LiDAR-derived information.

4. Development of a Simple Chatbot Interface for Data Queries:

• Design and implementation of a user-friendly chatbot interface.
• Features and functionalities of the chatbot for querying digital data stored in the cloud.
• User experience considerations and user feedback from interface testing.

Requirements: 

Educational Qualifications:

• Qualified or partly qualified with a bachelor’s or master’s degree in computer science, engineering, data science, or a related field.
• Strong programming skills in languages such as Python.

Experience Required:

• Experience with machine learning libraries and frameworks, such as scikit-learn, TensorFlow, or PyTorch.

Knowledge, Skills & Abilities Required:

• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of software engineering principles and best practices, including version control and documentation.
• Passion for environmental sustainability and interest in applying machine learning to address water-related challenges.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and collaboration skills.
• Data preparation and preprocessing: Assist in collecting, cleaning, and preprocessing datasets from various sources, including satellite imagery, remote sensors, and field surveys.
• Feature engineering: Engineer relevant features from raw data to improve model performance and interpretability.
• Model development: Develop, train, and evaluate machine learning models, including supervised and unsupervised learning algorithms, to solve specific research problems and objectives.
• Model deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
• Model optimization: Optimize machine learning models for performance, scalability, and resource efficiency, considering factors such as computational cost and model interpretability.
• Version control and documentation: Maintain version control of machine learning code and documentation. Document the machine learning process, methodologies, and results.
• Collaboration: Collaborate with interdisciplinary teams of researchers, scientists, and engineers to integrate machine learning solutions into ongoing research projects.
• Learning and development: Stay updated on the latest developments in machine learning techniques, tools, and technologies. Take initiative to learn new skills and technologies relevant to the field.

LANGUAGE PROFICIENCY:

• Excellent oral and written language skills in English, including effective listening and strong verbal and written communication abilities.