Data Scientist With Generative AI Expertise

Role & Responsibilities:

• Design develop and implement advanced AI solutions to solve complex business problems across various domains.

• Collaborate with engineers researchers and product managers to understand business needs and translate them into technical specifications for AI models.

• Gather clean and prepare data for training and evaluating sophisticated AI models ensuring data quality and ethical considerations.

• Explore and implement stateoftheart AI techniques including deep learning natural language processing and computer vision tailored to specific needs.

• Evaluate and compare different AI model architectures and hyperparameters to optimize performance address potential biases and ensure responsible development.

• Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.

• Communicate complex AI concepts and findings to technical and nontechnical audiences through data visualization storytelling and presentations.

Skills

Technical:

• Programming languages: Python (proficient) with major ML libraries.

• Experience with opensource Gen AI LLMs e.g. Llama and Dolly.

• Machine learning NLP & deep learning: Strong understanding of supervised and unsupervised learning neural networks transformers.

• Generative AI techniques: Experience with GANs texttoimage generation text generation models.

• Data wrangling & manipulation: SQL data cleaning feature engineering.

• Hyperscalers: AWS Azure or GCP experience a plus

Nontechnical:

• Problemsolving & critical thinking: Ability to identify and solve complex problems with datadriven solutions.

• Communication & collaboration: Effectively communicate technical concepts to diverse audiences work with geographically distributed teams.

• Innovation & creativity.

• Attention to detail & accuracy.

• Selfmotivation & continuous learning.

• develop and evaluate alternative solutions and make recommendations.

Remote Work :

No