Published

Entry and Basic-level Non-profit, social work Jobs in Kenya

0

jobs

Get personalised job alerts directly to your inbox!

Triggerise

CLOSED

Machine Learning Engineer Team Lead

Nairobi, Kenya

Top cities with open vacancies

Jobs in Nairobi

Companies hiring now

Triggerise

Country / Region

Fuzu

© Fuzu Ltd 2024

CLOSED FOR APPLICATIONS

Machine Learning Engineer Team Lead

Closing: May 10, 2024

This position has expired

Published: Apr 29, 2024 (18 days ago)

Job Requirements

Education:

Work experience:

Language skills:

Job Summary

Contract Type:

Sign up to view job details.

  • As a Machine Learning Engineer Team Lead, you'll be responsible for leading the machine learning team, as well as designing and developing Machine Learning algorithms that help us predict and detect significant data patterns into the Tiko Platform.

About You

  • You are passionate about Machine Learning and want to work with a dynamic team of professionals. You take a proactive approach to problem-solving and have a logical way of thinking. 

Requirements

  • 1-2 years of experience managing a team of machine learning engineers
  • 5+ years of experience designing, developing and deploying Machine Learning models in a production environment
  • Strong background in mathematics and statistics
  • Exposure to developing NLP solutions over opensource platforms
  • Exposure to common machine learning, data, math, and visualization libraries
  • Exposure to different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git)
  • Proficiency in Python
  • Understanding of relational databases such as SQL, MySQL, PostgreSQL
  • Familiarity with a cloud environment (AWS) and containerised environment (Kubernetes, Docker) and CI/CD (ArgoCD, AWS Code Pipelines)
  • You are currently based in Portugal, South Africa, or Kenya.


Responsibilities
  • As a Machine Learning Engineer Team Lead, you'll be responsible for leading the machine learning team, as well as designing and developing Machine Learning algorithms that help us predict and detect significant data patterns into the Tiko Platform.

About You

  • You are passionate about Machine Learning and want to work with a dynamic team of professionals. You take a proactive approach to problem-solving and have a logical way of thinking. 

Requirements

  • 1-2 years of experience managing a team of machine learning engineers
  • 5+ years of experience designing, developing and deploying Machine Learning models in a production environment
  • Strong background in mathematics and statistics
  • Exposure to developing NLP solutions over opensource platforms
  • Exposure to common machine learning, data, math, and visualization libraries
  • Exposure to different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git)
  • Proficiency in Python
  • Understanding of relational databases such as SQL, MySQL, PostgreSQL
  • Familiarity with a cloud environment (AWS) and containerised environment (Kubernetes, Docker) and CI/CD (ArgoCD, AWS Code Pipelines)
  • You are currently based in Portugal, South Africa, or Kenya.


  • Lead and develop the individuals in your team.
  • Coordination of the work that the machine learning team need to do.
  • Develop machine learning algorithms in the applicable systems, applying the best-use principles of machine learning to the design, development, maintenance, testing, and evaluation of the software.
  • Our team works in an agile way, and you'll be part of the rituals and practices.
  • Document your work and ensure that your documentation is clear and understandable for future use by others.
  • Ensure the software you develop is secure and safe with regards to information security and personal data.
  • We expect you to actively participate in meetings and projects and coordinate with your team members. We also expect you to continue to develop yourself and keep abreast of new developments.
  • You'll run, get involved with, and help out colleagues on other projects as needed.


Applications submitted via Fuzu have 32% higher chance of getting shortlisted.