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AI Research Scientist
Job Location:
Monthly Salary:
Posted:
30 September 2026 (28 days ago)
Posted:
Application Deadline:
28 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
We are seeking a highly skilled and innovative Research Scientist specializing in Artificial Intelligence to join our R&D team. This role is ideal for someone with deep expertise in implementing and customizing state-of-the-art AI research papers optimizing large-scale models and building robust datasets. You will work on real-world applications of generative AI large language models (LLMs) and computer vision systems contributing directly to the development of scalable and impactful AI solutions.
Key Responsibilities
Implement and customize cutting-edge AI research papers into working prototypes and production-ready models.
Conduct performance improvement experiments on large-scale models including fine-tuning prompt engineering and architecture modifications.
Develop and manage training and evaluation datasets including synthetic data generation annotation pipelines and benchmark creation.
Collaborate with engineering and product teams to deploy research outputs into scalable systems.
Stay up-to-date with the latest advancements in AI and contribute to internal research strategy.
Document experiments share insights and support innovation through patent filings and technical reports.
Required Qualifications
Ph.D. or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field.
Proven experience in implementing and customizing AI research papers (e.g. from arXiv NeurIPS ICML).
Hands-on experience with Large Language Models (LLMs): GPT LLaMA Mistral Falcon.
Experience with Vision Models: ViT SAM CLIP.
Experience with Generative Models: Stable Diffusion DALLE GANs.
Experience with Multimodal Systems combining vision language and audio.
Proficiency in Python PyTorch TensorFlow JAX.
Experience with Hugging Face Transformers Diffusers OpenAI Gym.
Experience with Weights & Biases MLflow TensorBoard.
Experience with Distributed training: DeepSpeed FSDP Horovod.
Knowledge of Model optimization: quantization pruning distillation.
Experience with Data tools: DVC Apache Arrow Label Studio.
Strong understanding of evaluation metrics benchmarking and reproducibility.
Key Responsibilities
Implement and customize cutting-edge AI research papers into working prototypes and production-ready models.
Conduct performance improvement experiments on large-scale models including fine-tuning prompt engineering and architecture modifications.
Develop and manage training and evaluation datasets including synthetic data generation annotation pipelines and benchmark creation.
Collaborate with engineering and product teams to deploy research outputs into scalable systems.
Stay up-to-date with the latest advancements in AI and contribute to internal research strategy.
Document experiments share insights and support innovation through patent filings and technical reports.
Required Qualifications
Ph.D. or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field.
Proven experience in implementing and customizing AI research papers (e.g. from arXiv NeurIPS ICML).
Hands-on experience with Large Language Models (LLMs): GPT LLaMA Mistral Falcon.
Experience with Vision Models: ViT SAM CLIP.
Experience with Generative Models: Stable Diffusion DALLE GANs.
Experience with Multimodal Systems combining vision language and audio.
Proficiency in Python PyTorch TensorFlow JAX.
Experience with Hugging Face Transformers Diffusers OpenAI Gym.
Experience with Weights & Biases MLflow TensorBoard.
Experience with Distributed training: DeepSpeed FSDP Horovod.
Knowledge of Model optimization: quantization pruning distillation.
Experience with Data tools: DVC Apache Arrow Label Studio.
Strong understanding of evaluation metrics benchmarking and reproducibility.
Required Skills:
LLMresearchlangchain
