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Data Scientist / AI Data Scientist

Full time On-site working

Job description

Key Responsibilities:

Data Preparation and Engineering:

  • Utilise Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to prepare, transform, and orchestrate data pipelines.
  • Ensure data readiness for AI models by leveraging Azure Machine Learning’s Data Labelling and feature extraction capabilities.

AI and Machine Learning Model Development:

  • Develop, train, and fine-tune machine learning models using Azure Machine Learning Studio and open-source frameworks like PyTorch or TensorFlow within Azure environments.
  • Integrate models into Azure-based products and services, including Power BI, Dynamics 365, and CoPilot, for enhanced user experiences.

CoPilot Integration and Innovation:

  • Design and build advanced solutions leveraging the Microsoft CoPilot framework to create intelligent, context-aware applications.
  • Collaborate with teams to integrate CoPilot into productivity tools like Microsoft 365 apps, enabling generative AI-powered assistance.

Collaboration with Stakeholders:

  • Partner with product managers, engineers, and business leaders to align AI solutions with strategic objectives and enterprise goals of our company.
  • Communicate insights effectively through tools like Power BI, ensuring actionable recommendations for decision-makers.

Research and Continuous Improvement:

  • Stay at the forefront of AI advancements, including large language models (LLMs), computer vision, and conversational AI within the Azure ecosystem.
  • Experiment with and integrate Microsoft innovations, such as GPT-powered Azure OpenAI services, into scalable enterprise solutions.

Qualifications:

  • Bachelor’s or Master’s degree in data science, Computer Science, Engineering, or a related field
  • Proficient in Python, R, or similar languages, with experience in Azure Machine Learning SDK and Microsoft AI tools.
  • Hands-on expertise with Azure cloud services, including Azure Cognitive Services, Azure AI, and Power Automate.
  • Solid grasp of machine learning algorithms, natural language processing, and neural networks.
  • Experience with MLOps practices, leveraging Azure DevOps for CI/CD pipelines and model versioning.
  • Functional Skills-Advanced Machine Learning and AI Techniques, Data Engineering and Processing, Cloud AI and MLOps, Natural Language Processing (NLP)
  • Integration with the Microsoft Ecosystem, Data Visualization and Actionable Insights

Job overview

Date posted:

03/02/2025

Location:

Ghana/ Rwanda

Job title:

Data Scientist / AI Data Scientist

Duration:

Permanent

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