Fact Finders Pro · 7 hours ago
AI/ML Architect-Data Science (Volunteer role-unpaid position)
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Responsibilities
Design and develop the overarching AI architecture for the Fact Finders Pro platform, ensuring scalability, reliability, and performance.
Define the AI/ML strategy in alignment with the company’s mission and long-term goals.
Collaborate with engineering, data science, and product teams to integrate AI-driven solutions into the platform effectively.
Lead, mentor, and guide a multidisciplinary team of data scientists, machine learning engineers, and data analysts.
Drive innovation within the team by fostering a culture of research and experimentation with new AI/ML technologies.
Oversee the end-to-end lifecycle of AI projects, from concept and design through to implementation and deployment.
Ensure the AI models and systems are robust, scalable, and meet the performance requirements for real-time fact-checking.
Integrate state-of-the-art NLP techniques and tools to enhance the platform’s fact-checking capabilities.
Work closely with data engineers to design data pipelines that support the AI architecture, ensuring data quality and availability.
Implement MLOps best practices to manage model deployment, versioning, and monitoring.
Optimize AI models and systems for performance, cost-efficiency, and reliability.
Stay at the forefront of AI/ML advancements, particularly in NLP, deep learning, and reinforcement learning.
Identify and implement new AI/ML technologies and methodologies that can improve the platform’s capabilities.
Publish research findings and contribute to the AI/ML community, representing Fact Finders Pro at conferences and industry events.
Qualification
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Required
Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
7+ years of experience in AI/ML roles, with at least 5 years in an architect or senior technical leadership position.
Proven experience in designing and deploying large-scale AI systems, particularly those involving NLP and text analysis.
Strong background in software architecture, system design, and cloud infrastructure.
Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP tools (e.g., Transformers, BERT).
Proficiency in programming languages such as Python, Java, or C++.
Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
Strong understanding of MLOps, including CI/CD for machine learning, model monitoring, and data governance.
Ability to design and implement complex AI architectures that meet business requirements.
Strong leadership and mentorship skills, with a track record of building and leading high-performing technical teams.
Excellent communication and collaboration skills, with the ability to work effectively across different functions.
Preferred
Experience with reinforcement learning and active learning techniques.
Knowledge of ethical AI practices and the ability to design systems that mitigate bias.
Prior experience in the media, journalism, or fact-checking industry.
Company
Fact Finders Pro
At Fact Finders Pro, we're on a mission to tackle one of the most pressing challenges of our time: disinformation.
Funding
Current Stage
Growth StageCompany data provided by crunchbase