Lead Applied Scientist

3 weeks ago

Abu Dhabi, United Arab Emirates Avrioc Technologies Full time

We are seeking a highly skilled and experienced Senior AI Engineer to join our dynamic AI group as a Team Lead. The ideal candidate should possess 8 to 10 years of hands-on experience in the field of Artificial Intelligence with a strong emphasis on optimizing models in C/C++. The candidate will be a key player in our team, responsible for leading and mentoring a group of talented AI professionals. This role involves working on cutting-edge technologies, including GGML, PyTorch, Hugging Face, scikit-learn, and classical machine learning techniques. The candidate should be well-versed in Natural Language Processing (NLP), Natural Language Generation (NLG), Generative AI, Computer Vision, and have expertise in model training, inference, and development. We are also keen to have a person who understands classical ML. Not all problems need deep learning

Qualifications:

  • Bachelor's/Master's/Ph.D. in Computer Science, Artificial Intelligence, or related field.
  • 8-10 years of hands-on experience in AI development.
  • Proven experience in leading and managing AI teams.
  • Strong problem-solving skills and a passion for staying at the forefront of AI technology.

Bonus Points:

  • Personal projects, GitRepos, especially on optimizing models.
  • High proficiency in C++
  • GGML, show us a project
  • Any other experience of optimizing models, C/C++ code, using opensource frameworks

Roles and Responsibilities:

1. Team Leadership:

  • Lead and mentor a team of AI professionals, fostering collaboration and knowledge sharing.- Provide technical guidance and mentorship to team members to ensure the successful delivery of projects.
  • Collaborate with cross-functional teams to align AI strategies with overall business objectives.

2. Model Optimization:

  • Optimize AI models in C/C++ to ensure efficient and scalable performance.
  • Work closely with the team to implement and deploy optimized models for real-world applications.

3. AI Frameworks and Libraries:

  • Extensive experience with PyTorch, Hugging Face, and scikit-learn for developing and deploying AI models.
  • Familiarity with GGML and the ability to implement solutions using the framework. Enough proficiency to move things forward.

4. Domain Expertise:

  • Proficient in NLP and NLG techniques, with a track record of successfully applying them to practical problems.
  • Solid understanding of Computer Vision principles and experience in implementing vision-based solutions.

5. Full-stack AI Development:

  • Engage in end-to-end AI development, including model training, deployment, and monitoring.
  • Collaborate with software development teams to integrate AI solutions into existing software infrastructure.

6. Programming and Software Development:

  • Strong programming skills in Python and C/C++.
  • Proficient in software development best practices and design patterns.

7. Cloud and Operating Systems:

  • Experience with cloud platforms, particularly AWS.
  • Proficiency in working with Linux and Ubuntu environments.

8. Continuous Learning and Innovation:

  • Stay abreast of the latest developments in AI and machine learning.
  • Drive innovation within the team and explore new approaches to problem-solving.

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