Generative AI Engineer

Company Description

Office Solution AI Labs, a global consulting and generative AI powerhouse, specializes in Outsourced Product Development, Business Process Management, and Custom Application Development & Maintenance. As an Authorized Microsoft Partner, we are committed to delivering exceptional value through tailored solutions such as custom charts and Power BI custom charts using advanced technologies like D3, React, and TypeScript. We have served clients across the United States, the United Kingdom, Canada, Europe, and Dubai with a dedication to quality and timeliness, resulting in over $3 billion in value for our clients. Our AI-enabled chatbot enhances efficiency and accessibility in decision-making, making us a leader in harnessing the potential of business data.

Role Description

This is a full-time remote role for a Generative AI Engineer. The Generative AI Engineer will design, develop, and deploy AI models and algorithms using technologies such as Python, TensorFlow, and PyTorch. Responsibilities include collaborating with cross-functional teams to understand business requirements, researching and implementing machine learning models, and continuously improving existing AI solutions. The engineer will also conduct data pre-processing, feature engineering, and model evaluation to ensure high-performance AI systems.

Qualifications

• Experience in Generative AI, Machine Learning, and Deep Learning technologies (Python, TensorFlow, PyTorch)
• Skills in Data Pre-processing, Feature Engineering, and Model Evaluation
• Proficiency in programming languages and frameworks such as Python, JavaScript, and SQL
• Strong understanding of cloud platforms and services (Azure, AWS, Google Cloud)
• Excellent problem-solving skills and the ability to work collaboratively in a remote environment
• Master’s or Bachelor’s degree in Computer Science, Data Science, or related field
• Experience in full stack development, particularly with MERN stack, is a plus
• Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders