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PhD AI Researcher

Remote: 
Full Remote
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Offer summary

Qualifications:

Pursuing or recently completed a PhD in Computer Science, AI, or ML., Strong understanding of AI/ML algorithms and architectures., Experience with AI/ML frameworks like PyTorch or TensorFlow., Proficiency in Python and relevant libraries..

Key responsabilities:

  • Analyse and implement insights from AI/ML research.
  • Evaluate open-source models for specific use cases.
  • Fine-tune and modify AI/ML models.
  • Develop proof-of-concept solutions using AI frameworks.
  • Collaborate with data scientists and engineers.
  • Document experiments and findings.
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VE3 https://www.ve3.global/
501 - 1000 Employees
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Job description

This is a remote position.



Job Title: PhD AI Researcher

Job Type: Full-Time/Part-Time (Flexible for current PhD candidates)



About the Role-

We are seeking a highly motivated and talented PhD AI Researcher to join our team. This role focuses on exploring, evaluating, and adapting open-source AI models to solve real-world problems. You will be at the forefront of cutting-edge AI research, analysing the latest advancements, and building tailored solutions for diverse use cases.

Whether you are currently pursuing your PhD or have recently completed it, this role offers the perfect opportunity to apply your academic expertise in a dynamic and impactful setting.



Requirements


Key Responsibilities-

  • Research Evaluation: Analyse and implement insights from the latest AI/ML research papers and conferences.
  • Model Assessment: Evaluate open-source models for applicability to specific domains and use cases.
  • Implementation & Adaptation: Fine-tune and modify AI/ML models (e.g., LLMs, GANs, vision models) for optimal performance.
  • Prototyping: Develop proof-of-concept solutions using state-of-the-art AI frameworks and tools.
  • Collaboration: Work with data scientists, engineers, and product teams to bridge the gap between research and application.
  • Documentation: Maintain detailed records of experiments, findings, and recommendations to guide future implementations.



Qualifications-

  • Education:

    • Pursuing or recently completed a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

  • Technical Expertise:

    • Strong understanding of AI/ML algorithms and architectures (e.g., transformers, diffusion models, reinforcement learning).
    • Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
    • Proficiency in Python and related libraries (NumPy, pandas, scikit-learn).
    • Experience with LLMs, fine-tuning, and evaluating models like, Llama, GPT, BERT, or Stable Diffusion.

  • Research Skills:

    • Proven ability to understand and implement academic research in AI/ML.
    • Publication record in reputable journals or conferences is a plus.

  • Soft Skills:

    • Strong analytical thinking and problem-solving abilities.
    • Effective communication skills for cross-functional collaboration.


Benefits


  • Competitive salary and flexible working arrangements.
  • Opportunity to work on cutting-edge AI research and real-world applications.
  • Access to advanced computational resources and tools.
  • Mentorship and collaboration with industry experts.
  • Support for attending conferences and publishing research.


Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Communication
  • Problem Solving

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