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AI Technical Team Leader

Posted about 1 month agoViewed

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💎 Seniority level: Lead, 5+ years

📍 Location: Egypt

🔍 Industry: Software Development

🏢 Company: 700Apps👥 51-100ConsultingOutsourcingSoftware

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • 5+ years of experience in areas of machine learning, recommendation, and natural language processing.
  • 1+ year of experience leading AI projects, preferably in a software development or consulting environment.
  • 2+ years of experience in designing and implementing projects that involve LLM.
  • 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience.
  • Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Solid understanding of data processing, data analysis, and feature engineering techniques.
  • Excellent leadership and communication skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.
  • Strong problem-solving and analytical thinking abilities.
  • Experience in DevOps/MLOps methodologies and project management tools is a plus.
Responsibilities:
  • Lead and manage a team of AI engineers and data scientists, providing technical guidance and support throughout the project lifecycle.
  • Collaborate with cross-functional teams, including software developers, product managers, and business analysts, to define project requirements and deliver high-quality AI solutions.
  • Drive innovation by staying up-to-date with the latest trends and advancements in AI technologies such as Gen/Agentic AI and its tools.
  • Design and implement AI models and algorithms to solve complex business problems.
  • Design offline evaluation metrics and online evaluation metrics that leads to the success of the project
  • Provide mentorship and training to team members to enhance their technical skills and professional growth.
  • Ensure the timely delivery of AI projects within budget and scope, while maintaining high quality and client satisfaction.
  • Participate in client meetings and presentations to understand their needs, demonstrate the value of AI solutions, and provide technical expertise.
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