AI Data Science and DevOps Engineer

6 days ago

Amman, Amman, Jordan Refonte Learning Full time
About the Role

We are seeking a highly motivated and detail-oriented AI Data Science and DevOps Engineer to join our team at Refonte Learning. As a key member of our team, you will have the opportunity to work on cutting-edge projects that leverage the convergence of AI, Data Science, DevOps, and Cloud technologies.

Key Responsibilities
  • Collaborate with Cross-Functional Teams: Work closely with our data scientists, engineers, and other stakeholders to develop, deploy, and maintain AI-driven solutions.
  • Data Analysis and Insights: Assist in collecting, cleaning, and analyzing data from various sources to derive actionable insights that drive business decisions.
  • Scalable Data Pipelines: Contribute to the design and implementation of scalable data pipelines for model training and deployment.
  • DevOps and Cloud Integration: Support the integration of machine learning models into production systems using DevOps best practices and cloud services such as AWS, Azure, or Google Cloud.
  • CI/CD Pipelines: Participate in designing and optimizing CI/CD pipelines for continuous integration, testing, and deployment of AI applications on cloud platforms.
  • Infrastructure Provisioning: Assist in infrastructure provisioning, configuration, and monitoring using cloud services.
  • Business Requirements: Work closely with data scientists and engineers to understand business requirements and translate them into technical solutions.
  • Emerging Technologies: Research and experiment with emerging technologies and tools in AI, Data Science, DevOps, and Cloud domains.
  • Documentation: Collaborate on documentation efforts to ensure knowledge sharing and best practices across the team.
Projects You Will Work On
  • Multi-Cloud AI Infrastructure Configuration: Design and implement scalable AI infrastructure configurations on multiple cloud platforms.
  • Full Stack AI DevOps & Development: Develop and deploy full-stack AI applications using DevOps best practices and cloud services.
  • Generative AI Model Development: Contribute to the development of generative AI models, including large language models and foundation models.
  • Finance Fraud Detection: Develop advanced fraud detection algorithms leveraging financial data analysis.
  • Recommender System Development: Contribute to personalized recommendation systems, enhancing user experiences across platforms.
  • Sentiment Analysis: Explore sentiment analysis to extract insights from textual data, shaping user sentiment understanding.
  • Chatbot Development: Engage in intelligent chatbot development, revolutionizing customer interactions and support.
  • Image/Audio Video Classification: Push boundaries with multimedia technology by working on image and audio video classification projects.
  • Text Analysis: Uncover hidden patterns in textual data through sophisticated text analysis techniques.
Qualifications
  • Education: Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.
  • Communication Skills: Exceptional written and verbal communication skills, vital for effective collaboration and articulation of complex ideas.
  • Teamwork: Demonstrated ability to work both independently and as part of a cohesive team, highlighting adaptability and strong teamwork capabilities.

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