Generative AI Engineer

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

• 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, Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Computing, Comparative Analysis, Computer Vision, Continuous Deployment/Delivery, Continuous Integration, Data Cleaning, Data Modeling, Data Quality, Deep Learning, GCP (Good Clinical Practices), Machine Learning, Microsoft Windows Azure, Natural Language Processing (NLP), Needs Assessment, Neural Networks, Open Source, Performance Tuning/Optimization, Problem Solving Skills, Programming Languages, Python Programming/Scripting Language, SQL (Structured Query Language)