Python AI Engineer

Mandatory Skills

• Python AI
• GPT
• Healthcare

Responsibilities

• Build scalable software solutions using LLM's and other ML models to solve challenges in healthcare.
• Build enterprise grade AI solutions with focus on privacy, security, fairness.
• Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.
• Design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required for dashboard consumption.
• Build extensible API Integrations and low code UI/UX solutions with short cycle times to extract information, integrate with GPT4, and provide insights in dashboards.
• Build solutions that align with responsible AI practices.
• Envision solution outcomes to solve business problems with actionable insights and design viable solutions.
• Understand AI data interpretation to build prompts that lead to expected outcomes.
• Architect and develop software or infrastructure for scalable, distributed systems with machine learning technologies.
• Work with frameworks like Tensorflow, PyTorch and open source platforms like Hugging Face.
• Optimize existing generative AI models for improved performance, scalability, and efficiency.
• Develop and maintain AI pipelines including data preprocessing, feature extraction, model training, and evaluation.

Qualifications

• Strong technical skills in machine learning and AI, especially natural language processing and generative models like GPT-3, DALL-E.