About ModuleQ
Headquartered in Cupertino, California, ModuleQ connects the dots in work data by tapping into the largest databases, the latest news, and internal content. With consent, ModuleQs People-Facing AI creates a network of intelligence in clients existing workspace to identify priorities. ModuleQ uses proprietary algorithms to search public and internal information as well as business intelligence from partners.
What you'll do

• Identify and source relevant structured and unstructured data from various internal and external sources.
• Collect, preprocess, and transform data into usable formats, ensuring accuracy, completeness, and quality.
• Build and curate datasets by labeling and annotating data for supervised and unsupervised learning.
• Develop and implement state-of-the-art algorithms and models that underpin AI features and capabilities.
• Perform thorough data and error analysis to continuously refine and enhance AI models' performance.
• Cleanse and validate data, ensuring consistency and uniformity to optimize model performance.
• Analyze data to identify trends, patterns, and insights that drive informed decision-making.
• Conduct experimental analyses to derive meaningful insights, contributing to product innovation.
• Collaborate closely with engineering and product teams to comprehend requirements and translate them into effective AI features.
• Facilitate the seamless transition of AI solutions from development to production environments.
• Communicate findings, recommendations, and insights to technical and non-technical stakeholders.
• Collaborate on interdisciplinary projects, fostering a culture of cross-functional teamwork.
  

What you bring

• Master's Degree in Computer Science, Algorithms, or a relevant field
• Excellent communication skills
• The candidate should have experience with modern machine learning and data science toolkits such as PyTorch/Tensorflow, Pandas, NumPy, Scikit-learn, Jupyter/Python.
• Experience with training transformers, MLOps and tools such as SpaCy and Azure ML is a plus, as is experience with C#