Research Scientist at Glodaris Technologies Limited

Posted on Fri 07th Jan, 2022 - www.hotnigerianjobs.com --- (0 comments)

Glodaris is a Global independent consultancy firm focusing on ICT, Lean Manufacturing System, Lean Six sigma Services, Data and Information Management, Data collection, Bigdata, Research and Innovation (R&I). We serve the private-sector, the public sector, the world’s top companies, countless new ventures, and governments and non-governmental organizations (NGO).

We are recruiting to fill the position below:

Job Title: Research Scientist

Location: Abuja

Responsibilities

  • Conduct research for novel ML use cases and applications
  • Build initial ML prototypes and models
  • Conduct systematic experiments across multiple models and hyper parameter combinations
  • Create or augment datasets
  • Clean, process, analyze and visualize data and model performance
  • Keep up-to-date with new research literature and state-of-the-art machine learning and deep learning approaches
  • Evangelize new ML approaches and ideas
  • Mentor software, data and ML engineers

Tech Stack

  • Python
  • Jupyter notebooks
  • Machine learning: Scikit-learn, Fast.ai, AllenNLP, OpenCV, HuggingFace
  • Deep learning: TensorFlow, PyTorch, MXNet, JAX, Chainer etc.
  • Linux
  • Cloud: AWS/Azure/GCP; SageMaker, S3, EC2, Boto
  • Hyperparameter tuning: Neptune, Comet, Weights & Biases
  • Git, Github/Bitbucket

Requirement

  • Candidates should possess a Bachelor's Degree qualification.

Skills:

  • Msc in a quantitative discipline like Computer Science, AI, Physics, Biology, Economics etc.
  • Scientific mindset and first-principles thinking
  • Depth and breadth of state-of-the-art approaches in science
  • Prior experience in conducting academic or industry research
  • Creative problem solving
  • Machine Learning
  • Deep Learning
  • Design and develop ML prototypes and models
  • Written and verbal communication to work with cross-functional teams
  • Presentation skills to present results and insights to leadership
  • Derive statistically valid insights from data science models to improve product development, marketing or business strategies.

Application Closing Date
12th January, 2022.

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