Technical Lead

Toronto, ON, Canada
Full Time
North America Technology
Experienced

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

ABOUT YOU

  • 5+ years experience as an ML Engineer/Data Engineer/Data Scientist with a strong software engineering background
  • Experience in building, deploying, monitoring, and managing ML infrastructure(Airflow, MLFlow, K8S, TFX, Vertex AI, etc) in the cloud
  • Expertise with tools and platforms commonly used for end-to-end machine learning (Kubeflow, TFX, Airflow, MLflow
  • End-to-end TFX experience, from ingestion to serving
  • Strong AWS cloud experience
  • Deployment experience on AWS/GCP
  • Familiar with time-series analytics
  • Familiar with deep learning algorithms such as CNN, RNN
  • Familiar with Pytorch, Tensorflow, Sklearn, XGBoost
  • Familiar with data pipelines
  • Familiar with AWS Sagemaker
  • Familiar with one or more: auto encoding, multivariate time series, ARIMA, MQ-RNN, NLP, Computer Vision, ES-RNN, n-beats

RESPONSIBILITIES

  • Lead and drive MLOps projects from beginning to end
  • Design & build data pipelines and production level ML infrastructure, using tools such as TFX, Kubernetes, Kubeflow Pipelines, TensorFlow
  • Frame and structure questions, collect and analyze data, research, prototype, and build machine learning pipelines, and runtime services of models in production
  • Develop and deliver on technical roadmaps and architectures for your portfolio products designed to accelerate the development of highly scalable machine learning systems
  • Have a strategic perspective of how several machine learning solutions come together against a team, technical product strategy, and lead to an optimal sequence of work
  • Excellent communication skills with demonstrated experience driving teams forward and the ability to influence technical decisions to line up with the company’s strategy

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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