AI/ML Engineer

Overview:

As a AI/ML Engineer you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards .

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 Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required -

• This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles.

• Build extensible API Integrations, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices.

• Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes.

• Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions 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. Strong technical skills in machine learning and AI, especially natural language processing, generative models like GPT-3, DALL-E, etc.

Skills:

Python AI ,GPT, Healthcare'