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 state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.
Evaluate and compare different AI model architectures and hyper parameters 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 non-technical audiences through data visualization, storytelling, and presentations
Skills
Technical:
Programming languages: Python (proficient) with major ML libraries
Experience with open source 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, text-to-image generation, text generation models
Data wrangling & manipulation: SQL, data cleaning, feature engineering
Hyperscalers : AWS, Azure, or GCP experience a plus