Machine Learning Engineer at Kobo360

Kobo360 is a tech-enabled digital logistics platform that aggregates end-to-end haulage operations to help cargo owners, truck owners and drivers, and cargo recipients to achieve an efficient supply chain framework. Through an all-in-one robust logistics ecosystem, Kobo uses big data and technology to reduce logistics frictions, empowering rural farmers to earn more by reducing farm wastages and helping manufacturers of all sizes to find new markets.

We are recruiting to fill the position below:

Job Title: Machine Learning Engineer

Location: Nigeria

Job Description

• We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
• The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Responsibilities

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Managing available resources such as hardware, data, and personnel so that deadlines are met
• 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/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Finding available datasets online that could be used for training
• Defining validation strategies
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

Skills:

• Proficiency with a deep learning framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
• Expertise in visualizing and manipulating big datasets
• Proficiency with OpenCV
• Familiarity with Linux
• Ability to select hardware to run an ML model with the required latency.

Application Closing Date
Not Specified.

Method of Application
Interested and qualified candidates should send their CV to: [email protected]

Note: Even though no degree is listed, we certainly appreciate you may have one. But in this business, what matters is what you can do. You will certainly like to be part of this. So, apply.