Fusemachines Nepal

Fusemachines Nepal

Software Industry

Kathmandu

Fusemachines 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, Fus ... e 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.

View Company Profile

Machine Learning Engineer Associate

Apply Before : 2020-02-02 (Closed) View: 3985

Job summary

  • No. of Vacancy
    : 5
  • Job Type
    : Full Time
  • Offered Salary
    : Negotiable
  • Gender
    : Both
  • Career Level
    : Mid Level
  • Experience
    : 1 Years
  • Apply Before
    : 2020-02-02 Closed

Job Description:

  • Assist with writing requirement specifications and design documents for a variety of development tasks including feature development, database design and system integrations
  • Assist with developing AI applications and code software applications to adhere to designs that support business requirements for internal and external clients
  • Create teaching contents, assignments and projects 
  • Prepare lesson plans, instruct students and support learning experience improvement
  • Work under tight deadlines to deliver quality, robust software
  • Preparation, drafting, and review of software documentation and project reports to meet senior staff and client requirements
  • Refactoring, debugging, testing and implementing changes to existing applications to meet project requirements
  • Report work progress regularly to the supervisor
  • Regularly attend internal and client meetings
  • Deploy, monitor and maintain applications as per requirement
  • Research and develop machine learning models and work on the whole ML pipeline: data collection, wrangling, pre-processing, model building, evaluation and deployment
  • Perform data analysis to uncover insights that can be immediately actionable or can inform decisions around the ML process
  • Demonstrate end-to-end holistic understanding of the applications being created

Required Knowledge, Skills, and Abilities:

  • Theoretical and practical knowledge of SQL / NoSQL databases with hands on experience in at least one database system
  • Solid understanding of Data Structure and Algorithms
  • Solid understanding of Object Oriented Programming concepts
  • Knowledge of Linux / Windows with system troubleshooting capabilities
  • Familiarity with Version Control tools such as Git
  • Ability to work with RESTful Web Services in JSON and XML formats
  • Strong written and verbal communication skills in English
  • Familiarity or the ability to learn and adapt to current trends and best practices
  • Must be self-motivated, flexible, collaborative, with an eagerness to learn
  • Ability to work independently or in a collaborative environment with a proactive attitude
  • Working knowledge of basic Machine Learning concepts: algorithms, evaluation procedures, etc.
  • Good grasp of the mathematical foundations of Machine Learning: Linear Algebra, Probability and Statistics, Calculus, etc.
  • Proficiency with Python, with ability to make use of tools and libraries
  • Good grasp of libraries like numpy, pandas, scikit-learn, etc.
  • Familiarity with a deep learning library such as TensorFlow, Keras, Pytorch, etc.
  • Familiarity with Python web frameworks such as Flask, Django, etc.
  • Record of academic publishing in related conferences and/or journals is a plus

Education + Experience:

  • Must have a fulltime degree in Computer Science or similar
  • At least 3-6 months of work (trainee/intern) experience

Job Action