Fusemachines Nepal

Machine Learning PhD

Fusemachines Nepal

Machine Learning PhD

Fusemachines (https://www.fusemachines.com/) is an enterprise AI services, education and solutions provider on a mission to democratize AI.

Headquartered in New York with operations across North and Latin America and Asia, Fusemachines brings together engineers and PhDs from around the world to help companies build innovative AI solutions. With a Nepal based head office in Kathmandu, Fusemachines offers advanced AI products such as Fuse Classroom, Fuse Extract. Fusemachines AI Schools run AI Microdegree and Certificate programs in physical classrooms as well as online live classes using its proprietary content and learning platform.


Fusemachines (https://www.fusemachines.com/) is an enterprise AI services, education and solutions provider on a mission to democratize AI.

Headquartered in New York with operations across North and Latin America and Asia, Fusemachines brings together engineers and PhDs from around the world to help companies build innovative AI solutions. With a Nepal based head office in Kathmandu, Fusemachines offers advanced AI products such as …

Machine Learning PhD

Views: 948 | This job is expired 4 years, 4 months ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Mid Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : Kamaladi, Kathmandu - Nepal
Offered Salary : Negotiable
Apply Before(Deadline) : Nov. 28, 2019 23:55 (4 years, 4 months ago)

Job Specification

Education Level : Doctorate (Ph. D)
Experience Required : More than or equal to 5 years
Other Specification
  • Ph.D. degree in computer science or a related field
  • Overall 5+ years of experience in the technology industry with 5-7 years working on Machine Learning & Statistics projects
  • Proven track record of research skills with peer-reviewed papers published
  • Experience leading agile development and engineering efforts from initial envisioning and epic construction to product deployment
  • Strong demonstrated experience leading diverse teams through rapid development cycles and producing high-quality software products and services at scale
  • Knowledge of Machine Learning pipelines - data ingestion, feature engineering, modeling, predicting, explaining, deploying and monitoring ML models
  • Experience leading teams working with Python, or R languages and general software development skills (source code management, debugging, testing, deployment, etc.)
  • Knowledge of one or more toolkits such as sklearn, MXNet, Keras, Tensorflow, PyTorch, NLTK, OpenCV, spaCy, etc.
  • Knowledge and project-level experience with Azure, GCP and/or AWS
  • Drive detailed-level design sessions and prioritize and organize work across releases, iterations, and sprints
  • Report and analyze engagement outcomes and for continuous improvement and cycle-time reduction

Job Description

  • Invent new algorithms to solve various problems. New algorithms need to be publication-worthy
  • Design and build models, data pipelines and production-level machine learning (ML) infrastructure, using tools such as sklearn, TensorFlow, PyTorch, Kubernetes, Kubeflow Pipelines. Leverage your experience to drive best practices in ML systems and data engineering
  • Bring ML experiments from Notebooks to production. Deploy ML models under the constraints of scalability, correctness, and maintainability
  • Collaborate with cross-functional agile teams of machine learning engineers, data engineers, and others in building machine learning systems

This job has expired.

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