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Machine Learning – PhD Internship Opportunities

  • Collaborate with our research and development team to design, implement, and optimize machine learning algorithms, with a focus on Generative AI and language models.
  • Analyse and preprocess large datasets to extract meaningful insights for model development and/or finetuning.
  • Evaluate and experiment with various machine learning models, frameworks, and techniques to investigate robustness and equity of LLMs in the African setting.
  • Communicate research findings through publications, presentations, and engaging with the academic and research communities.

Qualifications

  • Currently pursuing or recently completed a PhD in Machine Learning, Computer Science, or a related field.
  • Experience with deep learning and natural language processing.
  • Strong theoretical and practical knowledge of machine learning algorithms, with a preferred focus on NLP.
  • Proficiency in programming languages such as Python, TensorFlow, and/or PyTorch.
  • Clear understanding of Large Language Models (LLMs) & related AI technologies
  • Passion for staying up to date with the latest advancements in AI & ML.
  • Excellent problem-solving and critical-thinking skills.
  • Effective communication and collaboration skills within a multidisciplinary team.
  • Passionate about building the next generation of equitable AI technology for Africa

Principal Software Engineering Manager

Responsibilities

  • As a part of the Identity Provisioning group, you will build a best-in-class identity management platform, to help organizations provide their employees with secure identities to seamlessly access their apps and resources.
  • Lead the definition of requirements, KPIs, priorities and planning of engineering deliverables.
  • Lead and mentor a group of diverse and dedicated team members.
  • You will be responsible for hiring and growing the best engineers in the world to become an integral part of a productive and healthy engineering organization at Microsoft.

Qualifications
Required: –

  • Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python – OR equivalent experience. – 3+ years of experience managing a team of engineers

Other Requirements:

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

HM Qualifications Other

  • Experience with Windows, Active Directory or SQL

Machine Learning for Geospatial Analysis – PhD Research: Internship Opportunities

Employment type: Internship

  • To be able to work independently and conduct high-quality research under the mentorship of a senior researcher within MARI.
  • Evaluate and experiment with various machine learning models, frameworks, and techniques to build a flood prediction model.
  • To collaborate successfully with MARI researchers, other interns, PhD students, post docs, professors, and industry partners to produce outstanding research.
  • To contribute to a high-quality publication in a top peer reviewed journal or conference.
  • Communicate research findings through presentations and engaging with the academic and research communities.

Qualifications
Required/Minimum Qualifications:

  • Must be currently enrolled in, or recently completed a PhD in Machine Learning, Computer Science, Geospatial analytics, or a related STEM field.
  • Must have at least 2 years of experience with modelling in Python.
  • Must have at least 2 years of experience with machine learning models.

Other Requirements

  • Experience working with satellite imagery data and geospatial analysis.
  • Excellent communication skills to effectively collaborate with multidisciplinary teams.

Apply Here

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