
Artificial Intelligence • Enterprise • Productivity
MURAL is a secure, AI-powered visual work platform designed to enhance collaboration across teams and enterprises. It integrates with Microsoft 365 to offer an improved user experience, fostering innovation and teamwork through interactive whiteboards, mind maps, and a variety of templates. MURAL helps organizations break down silos, empower productivity, and enhance communication by creating a visual space for teams to connect, innovate, and solve problems efficiently.
October 29

Artificial Intelligence • Enterprise • Productivity
MURAL is a secure, AI-powered visual work platform designed to enhance collaboration across teams and enterprises. It integrates with Microsoft 365 to offer an improved user experience, fostering innovation and teamwork through interactive whiteboards, mind maps, and a variety of templates. MURAL helps organizations break down silos, empower productivity, and enhance communication by creating a visual space for teams to connect, innovate, and solve problems efficiently.
• Design, implement, and deploy AI/ML models for classification, regression, recommendation, and predictive analytics. • Apply AI/ML techniques such as RAGs, vector search and embedding where relevant. • Translate business problem statements into end-to-end ML solutions. • Collaborate with Data Engineering to ensure clean, well structured data pipelines for model training and evaluation. • Work with Product and Engineering teams to integrate ML models into production systems and product features. • Analyze and visualize model outputs and customer behavior to drive product decisions. • Prototype, iterate, maintain models while ensuring high quality, reliability, and maintainability. • Contribute to improving team best practices, review code, and mentor peers in ML engineering techniques. • Use AI tools as a part of your fundamental workflows.
• 4+ years of experience designing, building, and deploying large scale ML systems in production. • Proven ability to translate business problems into end-to-end ML solutions. • Deep expertise in supervised and unsupervised learning, reinforcement learning, and deep learning techniques. • Experience with large language models such as GPT, BERT, OpenAI, and embedding/vector search. • Proficiency in Python (NumPy, Pandas, scikit-learn) and SQL. • Experience with cloud-based ML platforms (AWS, Azure, GCP, Databricks) and big data frameworks (Hadoop, Spark). • A passion for utilizing AI-driven solutions to solve complex problems and enhance user experiences. • Experience learning new technologies, platforms, stacks, and coming up to speed quickly on large codebases • Strong problem-solving skills, collaboration, and emotional intelligence, with experience delivering value in a rapid-growth or startup environment.
• Equal Opportunity • Reasonable accommodation for individuals with disabilities
Apply NowSeptember 11
Machine Learning Engineer designing and productionizing ML and LLM-driven systems at Azumo, a San Francisco-based software development firm.
July 18
Join Mutt Data as a Data Scientist Lead, driving innovation in Machine Learning and Big Data.
July 18
Data Scientist role at Mutt Data focused on creating Machine Learning solutions for various industries.
May 7
Capgemini seeks a Data Scientist for a top US insurer, engaging in data science challenges.