Senior Data Scientist
Job Description
We are hiring for Senior Data Scientist - research and development of generative AI tools!
Notice period-15 to 30 days
Job Description
We are seeking a highly skilled Senior Data Scientist to join our team. The ideal candidate will have a strong background in NLP, large models fine tuning, open source community, machine learning and deep learning techniques, as well as experience in generative modeling.The candidate will be responsible for designing, implementing, and optimizing generative models for a variety of applications, including natural language processing, computer vision, and audio processing. The candidate will also be responsible for integrating, deploying and monitoring AI models on the Cloud using services like GIT, Terraform, Jenkins or Kubernetes.
Primary Responsibilities
Design, implement, and optimize generative models using machine learning and deep learning techniques.
Apply generative models to a variety of applications, including natural language processing, computer vision, and audio processing.
Integrate, Deploy and Maintain AI models throughout their lifecycle
Communicate findings to technical and non-technical stakeholders.
Collaborate with cross-functional teams to identify new opportunities for generative modeling.
Qualifications
Key requirements
5+ years of data science experience
Active in the open-source community, such as HuggingFace, Stable Diffusion, etc
Large models fine-tuning experience, familiar with distributed training- Experience with Lang Chain, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks
Experience researching and applying large language and generative AI models
Strong background in NLP and/or Computer Vision
Experience with natural language processing, computer vision, or audio processing generative models (including LLM, Diffusion models, GANs, VAEs..).
Experience with cloud computing platforms such as AWS or Azure.
Experience with deploying AI models at scale with frameworks such as FastAPI for API deployment, CI/CD for continuous integration and delivery and Docker/Kubernetes for containerization and scaling.
Experience in using/implementing/training/fine-tuning/optimizing foundation models or generative models.
Proficiency in programming languages such as Python or R.