Generative AI Engineer

About the role

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

Responsibilities

• 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 hyperparameters to optimize performance, address potential biases, and ensure responsible development.

Requirements

• Programming languages: Python (proficient) with major ML libraries.
• Experience with open-source Gen AI LLMs (e.g., Llama and Dolly).
• Strong understanding of machine learning, NLP, deep learning, supervised and unsupervised learning, neural networks, and transformers.
• Experience with generative AI techniques: GANs, text-to-image generation, text generation models.
• Data wrangling & manipulation: SQL, data cleaning, feature engineering.
• Hyperscalers: AWS, Azure, or GCP experience a plus.

Nice to have

• On-prem and cloud development projects with CI/CD.
• Experience with SN (ServiceNow).

Qualifications

Bachelor of Computer Science.

Pay

$80,000 to $95,000 per year.