AI Researcher – Large Language Models (LLMs)

Job Title:

Workplace Type:

Location:

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About Us:

stealth-mode AI startup

Our projects focus on:

• Training and Fine-Tuning Large Language Models (LLMs)

• Pioneering AI-Powered Solutions

• Advancing the Future of AI Technology

If you're driven to work at the cutting edge of AI research and love tackling complex problems, this is the opportunity for you!

About the Role:

AI Researcher

2+ year of hands-on experience

Key Responsibilities:

• Develop, fine-tune, and optimize

  large language models (LLMs)

  for various applications.
• Conduct research on cutting-edge methods in NLP, transformers, and generative AI.
• Design and implement training pipelines using frameworks like

  PyTorch

  or

  TensorFlow

  .
• Work on data preprocessing and augmentation to enhance model performance.
• Evaluate models using advanced metrics and iterate to improve accuracy, efficiency, and scalability.
• Collaborate with cross-functional teams to deploy models in production environments.
• Experiment with and implement state-of-the-art techniques such as

  LoRA

  ,

  quantization

  , or

  knowledge distillation

  for efficient model fine-tuning.
• Stay updated with the latest research papers and advancements in the field of AI and NLP.

What We’re Looking For:

Education & Experience:

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.

• 2+ year of hands-on experience

  in training and fine-tuning large-scale NLP models or related AI research.

Technical Skills:

• Frameworks

  : Expertise in deep learning frameworks like

  PyTorch

  or

  TensorFlow

  .

• LLM Experience

  : Hands-on experience with models like

  GPT, BERT, T5

  , or similar transformer-based architectures.

• Data Handling

  : Strong skills in preparing, cleaning, and processing large text datasets.

• Optimization Techniques

  : Familiarity with fine-tuning methods such as

  LoRA, Prompt Tuning

  , or

  Adapter Training

  .

• Evaluation

  : Knowledge of advanced metrics for NLP tasks (e.g., BLEU, ROUGE, perplexity).

• Programming

  : Proficiency in

  Python

  and relevant libraries (e.g., Hugging Face Transformers, NumPy, Pandas).

• Distributed Training

  : Exposure to

  multi-GPU training

  or distributed frameworks is a plus.

Bonus Skills:

• Familiarity with model deployment using frameworks like

  ONNX

  ,

  FastAPI

  , or

  Docker

  .
• Knowledge of efficient model compression techniques (e.g., quantization or pruning).
• Research contributions (publications, open-source projects) in the field of AI or NLP.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication skills to articulate technical concepts effectively.
• A collaborative mindset with the ability to thrive in a fast-paced, innovative team.

What We Offer:

• Opportunity to work on cutting-edge AI projects and shape the future of LLMs.
• A competitive salary and benefits package.
• A dynamic, research-driven work environment that encourages creativity and innovation.

Ready to Build the Future of AI?

If you’re passionate about AI research and eager to work on groundbreaking projects, we’d love to hear from you!