Senior Artificial Intelligence Architect

8 hours ago

Hyderabad, India Evernorth Full time

Evernorth is a leading healthcare company transforming lives and vitality of millions of members we serve. We leverage cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots.

Salary: $175,000 - $225,000 per annum

Job Description:

We are seeking an experienced Senior Artificial Intelligence Architect to join our team. As a key member of our AI team, you will be responsible for building scalable software solutions using Large Language Models (LLMs) and other ML models to solve challenges in healthcare.

You will work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect, developing scalable, resilient, ethical AI solutions. Your strong engineering skills will enable you to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required.

You will build extensible API Integrations, low-code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights, and make them available in intuitive, high-performing dashboards.

Key Responsibilities:

  • 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.

Requirements:

  • Proficient in Python and commonly used data science libraries like pandas, scikit-learn, TensorFlow, Keras, PyTorch, etc.
  • Experience working with different LLMs and proficient in Prompt Engineering.
  • Experience building machine learning infrastructure, data pipelines to train ML models.
  • Experience with common machine learning techniques like pre-processing data, training, evaluation of models.
  • Experience with public cloud technologies and their ML services (AWS preferred).

Education & Experience:

  • Degree in Computer Science, Artificial Intelligence, or a related field.
  • At least 5 years of experience in AI and machine learning.

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