AI Researcher – Large Language Models
2 days ago
Job Title:
AI Researcher – Large Language Models (LLMs)
Workplace Type:
Work from Office @ Hyderabad
Location:
Hyderabad, Telangana, India
Job Type:
Full-Time
About Us:
We are a well-funded
stealth-mode AI startup
on a mission to redefine the boundaries of artificial intelligence. Our team is working on next-generation large language models (LLMs) and AI systems that empower businesses with state-of-the-art solutions.
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:
We are seeking an
AI Researcher
with a passion for developing and fine-tuning large language models (LLMs). In this
on-site role
based in Hyderabad, you'll contribute to the core AI team, working on groundbreaking projects in natural language processing and generative AI.
This role is perfect for someone with
2+ year of hands-on experience
who is eager to make a big impact in a fast-paced, innovative environment.
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
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