Must-Have
• 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, text-to-image generation, text generation models
• Data wrangling & manipulation: SQL, data cleaning, feature engineering
• Hyperscale's : AWS, Azure, or GCP experience a plus
Good-to-Have
• cloud development projects with CI/CD Experience
Key Expectations from the Role
1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
4 Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development