ML Engineer


ML Engineer

ML Engineer


Key Skills: Pandas (Software) Pattern Recognition Data Cleaning Visualization Data Engineering

ML Engineer

Views: 171 | This job is expired 3 days, 6 hours ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Mid Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : kathmandu
Apply Before(Deadline) : May. 20, 2024 13:55 (3 days, 6 hours ago)

Job Specification

Education Level : Under Graduate (Bachelor)
Experience Required : Not Required
Professional Skill Required : Pandas (Software) Pattern Recognition Data Cleaning Visualization Data Engineering

About the job

About Fusemachines

Fusemachines is a 10+-year-old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.

About Role

We are seeking a Machine Learning Engineer with hands-on Python experience and proven analytical and problem-solving skills. You will be involved with various data engineering

aspects - data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will possess strong technical and interpersonal skills, along with certain ML skills. In addition, the candidate will collaborate across multi-functional teams
to achieve product milestones as agreed with stakeholders.

Key Responsibilities

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality and ensuring it via data cleaning
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelines
  • Finding available datasets that could be used for training
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Work independently and collaboratively on a multi-disciplined project team in an Agile development environment
  • Be actively involved in the design, development and testing activities for Big data product
  • Provide feedback to development teams on code/architecture optimization
Required Skills And Experience

  • Hands-on experience developing Python, PySpark
  • Possess a strong foundation in statistics and utilize statistical methods to analyze data and derive meaningful insights
  • Familiarity with Azure Databricks or similar
  • Proficiency with a deep learning frameworks such as TensorFlow or PyTorch or Keras
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
  • Expertise in visualizing and manipulating big datasets
  • Ability to select hardware to run an ML model with the required latency
  • Familiarity with Azure services
  • Proven experience with CI/CD
  • Proven experience with version control (Github, Bitbucket)
  • Familiarity with Linux OS/concepts
  • Strong written and verbal communication skills
  • Self-motivated and ability to work well in a team

Bachelor of Science degree from an accredited university

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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