Machine Learning Engineer at Outside Peek

Posted on Mon 30th Aug, 2021 - www.hotnigerianjobs.com --- (0 comments)

Outside Peek - Our client, an AI-powered Identity Verification Company, is currently recruiting suitable candidates to fill the position below:

Job Title: Machine Learning Engineer

Location: Lagos
Employment Type: Full-time

Job Summary

  • Our client is seeking a Machine Learning Engineer to optimize her machine learning systems.
  • The ultimate goal will be to shape and build efficient self-learning applications.

Responsibilities

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Design machine learning systems
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements
  • Verifying data quality, and/or ensuring it via data cleaning
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Consulting with managers to determine and refine machine learning objectives.
  • Research and implement appropriate ML algorithms and tools
  • Finding available datasets online that could be used for training

Job Requirements, Skills and Competences

  • Bachelor's Degree in Computer Science, Data Science, Mathematics, or a related field.
  • 3 – 4 years of proven work experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Great knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.

Application Closing Date
19th September, 2021.

Method of Application
Interested and qualified candidates should send their CV to: [email protected] using the Job Title as the subject of the email.

Note: Only suitable and qualified candidates will be contacted.