Description
You will design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
Responsibilities
- Design and implement AI solutions using deep learning, NLP, and computer vision techniques.
- Collaborate with engineers, researchers, and product managers to translate business needs into technical model specifications.
- Gather, clean, and prepare data for training and evaluating models while ensuring data quality and ethical considerations.
- Evaluate model architectures and hyperparameters to optimize performance and address potential biases.
- Manage data wrangling, cleaning, and feature engineering processes.
Required Skills
- 10+ years of experience in data science or related fields.
- Proficiency in Python and major machine learning libraries.
- Experience with open-source Gen AI LLMs such as Llama and Dolly.
- Strong understanding of supervised and unsupervised learning, neural networks, and transformers.
- Hands-on experience with GANs, text-to-image generation, and text generation models.
- Expertise in NLP and deep learning.
- Proficiency in SQL for data manipulation and cleaning.
- Experience with CI/CD in both on-prem and cloud development environments.
- Degree in any graduate field.
Preferred Skills
- Experience with hyperscalers including AWS, Azure, or GCP.