Machine Learning Engineer

Remote
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.

Share

Apply for this position

Required*
We've received your resume. Click here to update it.
Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume

Paste your resume here or Attach resume file

Human Check*