At a glance

Skills

Software and web development

Where

London, EC1M 6BB

Remote opportunity

Time

Either in or out of office hours Estimate of time needed:
1-15 hours Fully remote work, 1 weekly e-meeting, collaboration via Teams for work, store code on Github, deploy to AWS

Deadline

31 Dec 2024

Visitors from Fifth Day

Welcome to Reach Volunteering. We are a community and registered charity that connects people, skills and good causes.

To apply for this role, and any other on our platform, you need to be based in the UK, have at least three years of experience using the skills you wish to volunteer in a professional capacity or have lived experience (for trustee roles). Read more about our criteria.

You will help to refine and deploy AI models, enhance data processing pipelines, and ensure efficient integration with our AWS-hosted platform.

What will you be doing?

Truth Library is an AI-powered platform dedicated to delivering verified and insightful Q&A content. Our mission is to promote truthfulness and transparency by leveraging state-of-the-art AI models and cutting-edge technology. We are looking for a passionate and skilled Data Scientist to volunteer with us in further developing and deploying AI models that empower the Truth Library experience.

Role Overview:As a volunteer Data Scientist, you will collaborate with our technical team to refine and deploy AI models, enhance data processing pipelines, and ensure efficient integration with our AWS-hosted platform. This role offers a unique opportunity to work on impactful projects at the intersection of AI, truth, and transparency.

Key Responsibilities:

Develop, train, and fine-tune AI/ML models to support Truth Library’s Q&A system and content ranking algorithms.
Optimize model performance for scalability and accuracy in real-world deployment.
Collaborate with engineers and researchers to integrate AI models into our platform’s backend.
Design and implement data processing pipelines and workflows.
Analyze and process large datasets to extract actionable insights.
Assist with the deployment and monitoring of AI solutions on AWS infrastructure.
Participate in brainstorming and strategy sessions to align technical development with platform goals.

What are we looking for?

kills & Qualifications:

Proven experience with machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn, etc.).
Strong programming skills in Python or a similar language used in data science.
Proficiency in building and optimizing models for NLP, classification, or ranking tasks.
Hands-on experience with cloud platforms, preferably AWS (e.g., SageMaker, Lambda, EC2, S3).
Familiarity with databases, especially PostgreSQL, and data handling in structured and unstructured formats.
Knowledge of search technologies (e.g., OpenSearch, Elasticsearch) is a plus.
Understanding of MLOps principles and best practices for model deployment.
Excellent problem-solving skills and a strong analytical mindset.

Preferred Experience:

2+ years of experience in a data science or machine learning role.
Experience deploying AI/ML models in a production environment, especially on AWS.
Prior involvement in projects requiring natural language processing (NLP).
Familiarity with graph-based algorithms or data visualization tools is a bonus.
Contributions to open-source projects or publications in relevant domains.

What difference will you make?

You will help offering to today's and tomorrow's decision-makers a new way to understand the truth

Before you apply

Kindly send over your CV, your Linkedin and Github

About TiiQu

Causes

Education

Training / employment support

Women

Organisation type:

Social enterprise

TiiQu uses blockchain and AI to enable trust and protect the truth. The so called TruthTech tools are progressively integrated to serve the ecosystem for truth that we are...

Data Scientist for TruthTech