Machine Learning Engineer

Full Time
LATAM Technology
Mid Level

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 remote, full-time consulting position

Role scope

  • Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teams
  • Developing automated workflows and tools to curate datasets and facilitate training of deep learning models
  • Working closely with Machine Learning and Data/Software Engineering teams to develop processes for model deployment/monitoring for various applications.
  • Improving and evolving frameworks to manage the lifecycle of model development from research to production to monitoring to continuous improvement

Requirements for the role

  • Bachelor’s degree or MS in Computer Science or related technical area with preferably 5+ years of relevant industry experience developing productionized code in machine learning, data science, or related field
  • Strong knowledge of fundamental statistics and machine learning
  • Professional experience with at least one task: 
    • Churn/Propensity 
    • Ad segmentation
    • Next best action
    • Price optimization/Dynamic pricing 
    • Multivariate time series forecasting 
    • Demand forecasting
    • Recommender systems
    • Anomaly detection
    • Fraud detection
    • Econometrics
    • Customer lifetime value(LTV)
    • Credit Risk
    • Predictive and optimization modeling
  • Hands-on experience with ML frameworks, such as Sklearn, PyTorch, and Tensorflow.
  • Familiar with MLOps, model training, deployment, and monitoring
  • Experience with cloud compute environments such as AWS, GCP, or Azure
  • Experience with Big Data technologies
  • A desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared reward
  • Experience with custom/novel architectures, defining use cases, and developing methodology & benchmarks to evaluate different approaches
  • Excellent communication skills both written and verbal

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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