Data Science/ML/AI Trainee at Gurugeeks Royalty

Lagos

Company Info

Large organization

200 + Employees

Gurugeeks Royalty is a multinational corporation that provides solutions in the areas of IT/telecoms, catering, music production, multi-media services, fashion design and craft, automotive agriculture, insurance, and career development.

Gurugeeks Royalty is a multinational corporation that provides solutions in the areas of IT/telecoms, catering, music production, multi-media services, fashion design and craft, automotive agriculture, insurance, and career development.

Title: Data Science/ML/AI Trainee

Location: Ikeja, Lagos

Summary

  • Have you built a solid foundational knowledge in Data Science and seeking an opportunity to develop your skills and gain valuable experience in Machine Learning and AI?
  • Do you have a particular interest in using statistical and analytical methods plus AI tools to build dashboarding and reporting solutions, automate specific processes and develop smart solutions to business challenges?
  • Salary: N50,000- 70,000 p/m + Bonus + Benefits
    Hours: Mon-Fri.

About the Company

Gurugeeks IT/Telecoms provides a diverse range of design, engineering and digital technology and transformation services and consultancy. Our focus is to provide distinctive solutions in areas of IT, Telecoms and Electrical Power Systems.

Be part of the team that develops and runs our digital IT platforms, driving innovation in how we deliver to our customers and the rest of the business. Our team is expanding with multiple opportunities available at different levels.

We’re seeking the best AI, ML and data science talent to design and implement AI models that are appropriate for diverse software applications (FinTech, Retail, Business Operations, Manufacuring, Logistics etc), using conventional machine learning, deep learning neural networks and other data science techniques where necessary.

You will be working closely with development teams, data engineering, product managers and UI/UX teams for adequate support and guidance.

In a short period of time, you would build capacity to function as a permanent Associate with the responsibilities highlighted below.

Job Responsibilities

  • Championing AI learning and development plan
  • Data mining or extracting usable data from various valuable data sources and configuring ETL Pipelines.
  • Designing KPI dashboards, reporting and system monitoring capabilities
  • Using machine learning tools to select features, create and optimize classifiers.
  • Carrying out preprocessing of structured and unstructured data.
  • Enhancing data collection procedures to include all relevant information for developing analytic systems.
  • Processing, cleansing, and validating the integrity of data to be used for analysis.
  • Analyzing large amounts of information to find patterns and solutions.
  • Developing prediction systems and machine learning algorithms.
  • Presenting results in a clear manner.
  • Propose solutions and strategies to tackle business challenges.
  • Collaborate with Business and IT teams.

Required/Technical Skills to develop:

  • KPI dashboarding and reporting analysis
  • Developing AI models for customer support/chatbot
  • Machine Learning & Deep Learning concepts.
  • Data Wrangling & Database Management.
  • Familiarity with Data visualization tools.

Qualifications & Experience:

  • A minimum HND/BSc degree in Computer Science, Data Science, Mathematics, Statistics or similar field.
  • Must have completed NYSC
  • Solid knowledge of software development lifecycle.
  • Good conceptual knowledge of a particular field of AI/ML/data science
  • More specifically, building models using Python and any libraries like:
  • scikit-learn/sklearn; for more conventional ML and data science.
  • PyTorch/Tensorflow/Keras; if your background is deep learning and neural networks.
  • Huggingface/Transformers/LangChain; we use these for LLMs.
  • Pandas/NumPy; for pre-processing and massaging data.
  • Knowledge of REST API development, good understanding of Various types of Databases, Design and optimizations

Deadline: Not Stated

How to Apply: Interested applicants should forward their CV to: [email protected] using the position as subject of email.