About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

About the role

This is a part-time, remote position (20hrs/weekly)

Key Responsibilities

Collaborates with translators to define technical problem statements and hypotheses to test; understand business problems to implement scalable and sustainable solutions

Coordinates with SMEs, translators, IT, and data engineers to deliver holistic analytical solutions

Designs creates, tests, and implements complex models and algorithms that drive analytical solutions throughout the organization

Regularly tests and maintains analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time

Writes reports articulating the analytics insights and their business impacts

Conducts and leads meetings and workshops to explain findings

Supports translators in communicating the design, functioning, and output of the analytical models/solutions developed

Qualifications

5+ years of experience in data science

Master’s or another advanced degree in statistics, computer science, or data science

Proficiency in Python and PySpark and ability to derive insights from terabytes of time series-based data

Experience with object-oriented design, coding, and testing, engineering software platforms

Thorough understanding of machine learning frameworks such as Scikit Learn and Tensorflow

Experience in model deployment in Azure or local Python-based servers such as Flask, Waitress, Gunicorn

Understanding of advanced applied mathematics in AA, artificial intelligence, and array operations

Comfort in using SQL Server, PostgreSQL/ MySQL, and R

Knowledge of programming languages (R, PHP, Python)

Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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