Generative AI Engineer

• 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
• Hyperscalers : AWS, Azure, or GCP experience a plus Good-to-Have
• On prem and 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 Salary Range- $100,000-$120,000 a year #LI-CO1 #LI-SN1

• 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
• Hyperscalers : AWS, Azure, or GCP experience a plus

• On prem and 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

Salary Range- $100,000-$120,000 a year

#LI-CO1

#LI-SN1