Engineer AI

Responsibilities

• Develop and implement generative AI models, including LLMs, text-to-image and generative AI models.
• Train and evaluate models using large datasets.
• Troubleshoot and debug code to ensure high-quality results.
• Keep up to date with the latest developments in the field of generative AI and apply relevant new knowledge to the company's AI projects.
• Deep understanding of how to scale models and their limitations. Ability to quickly identify opportunities for model improvement
• Use predictive modeling to enhance and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Collaborate with different teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Lead all data experiments under the iterative testing framework.
• Engage with stakeholders to understand business challenges and develop data-driven solutions.
• Conduct advanced data analysis and design highly complex algorithmic models.
• Communicate complex quantitative analysis in a clear, precise, and actionable manner.
  

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in developing and training AI/ML models.
• Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R
• Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP.
• Experience with Cloud infrastructure and Platforms - Azure /Google Cloud Platform/AWS
• Working experience with Kore.AI and Prompt Engineering is a big plus
• Experience with training and evaluating large-scale models on high-performance computing clusters.
• Strong understanding of deep learning, natural language processing, and computer vision.
• Excellent problem-solving skills and ability to work independently and in a team environment.
  

Preferred Qualifications:

• Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in AI/ML.
• Demonstrated experience in developing and training AI models
• Strong knowledge of deep learning, natural language processing, and computer vision.
• Experience with scaling up generative models and deploying them in production environments.
• Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.