AI Engineer

1 week ago


Dubai, Dubai, United Arab Emirates Xische Full time
About Xische Group

Xische Group is a leading organization in the UAE, specializing in strategic programs that combine business acumen, creative designs, and cutting-edge engineering. Our mission is to deliver exceptional citizen and business experiences through innovative solutions.

Job Summary

We are seeking an experienced AI Engineer (5-7 years) to join our team as a Strategic Program Developer. The successful candidate will design, develop, and implement AI and machine learning algorithms and models to drive business growth and improvement.

Key Responsibilities
  1. AI and Machine Learning Development: Design, develop, and implement AI and machine learning algorithms and models to solve complex business problems.
  2. Collaboration and Communication: Work closely with cross-functional teams, including data scientists, data engineers, and business analysts, to understand project requirements and objectives.
  3. Data Preprocessing: Preprocess and clean data to ensure the quality and accuracy of datasets used for AI models.
  4. Model Training and Deployment: Train, evaluate, and optimize AI models to ensure their performance meets desired outcomes, and deploy them into production environments.
  5. Model Maintenance and Improvement: Monitor and maintain AI models in production, ensuring their performance remains optimal, and stay up-to-date with the latest AI/ML research, tools, and techniques.
  6. Technical Guidance and Expertise: Provide technical guidance and expertise to team members and stakeholders.
Requirements
  1. Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  2. Experience: Relevant experience working with AI and machine learning algorithms and models.
  3. Skills: Strong programming skills in languages such as Python, R, Fast API, Django; proficiency in AI/ML frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn; experience in delivering ML projects end-to-end with minimal supervision; knowledge of LLMs such as OpenAI, BardAI, Semantic search, and embeddings; knowledge of data preprocessing techniques and tools, such as SQL, Hadoop, or Spark; familiarity with cloud-based platforms and services, such as Azure, GCP; good understanding of mathematical concepts, including linear algebra, probability, and statistics; strong problem-solving and analytical skills; excellent communication and collaboration skills.
  4. Certifications: Certifications in AI/ML technologies or platforms, such as Azure ML or Google Cloud AI Engineer, can be an added advantage.

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