Fusemachines Nepal

Machine Learning Engineer

Fusemachines Nepal

Machine Learning Engineer

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 Engineer

Views: 2432 | This job is expired 4 years, 8 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
Offered Salary : Negotiable
Apply Before(Deadline) : Aug. 09, 2019 23:55 (4 years, 8 months ago)

Job Specification

Education Level : Under Graduate (Bachelor)
Experience Required : More than or equal to 2 years
Other Specification
  • Good grasp of Basic Machine Learning concepts: algorithms, evaluation procedures, etc and mathematical foundation for ML: Linear Algebra, Probability and Statistics, Calculus, etc
  • Proficiency in designing Python applications including proper packaging, test-suites, etc
  • Good grasp of data science libraries like numpy, pandas, scikit-learn, etc, deep learning libraries such as TensorFlow, Keras, Pytorch, etc and GPU computing
  • Ability to work on ML services on the cloud: AWS, GCP, etc
  • Good grasp of Python web frameworks such as Flask, Django, etc with ability to design, build and work with RESTful Web Services in JSON and XML formats
  • Familiarity with domain specific libraries: Eg: OpenCV, NLTK, etc
  • Ability to apply AI in one or more of the following areas: Natural Language Processing, computer vision, recommendation systems, forecasting, or similar
  • Ability to conduct independent literature review for projects and implement relevant techniques from those papers
  • Theoretical and practical knowledge of SQL / NoSQL databases with hands on experience in at least one database system
  • Solid understanding of Data Structure & Algorithms and Object Oriented Programming concepts
  • Knowledge of Linux / Windows with system troubleshooting capabilities
  • Familiarity with Version Control tools such as Git
  • Familiarity or the ability to learn and adapt to current trends and best practices
  • Strong problem solving and written and verbal communication skills in English

Job Description

  • Research and develop machine learning models and work on the whole ML pipeline: data collection, wrangling, pre-processing, model building, evaluation and deployment
  • Demonstrate end-to-end holistic understanding of the applications being created 
  • Help AI product managers and business stakeholders understand the potential and limitations of AI when planning and executing on projects
  • Deploy and help manage the data pipelines and infrastructure on cloud platforms needed to make AI work in production
  • Debug and analyze ML system performance in Production
  • Prepare and present results and analysis to stakeholders when necessary
  • Regularly attend internal and client meetings
  • Create APIs and help business customers put results of your AI models into operations
  • Provide proper guidance and supervision of subordinate engineers and their work
  • Must be self-motivated, flexible, collaborative, with an eagerness to learn
  • Regular, reliable attendance is a requirement of this job

This job has expired.

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