Machine Learning Analyst

Role Overview: You will be joining a team at Evernorth Health Services, a division of The Cigna Group, that is transforming healthcare and improving the lives and vitality of millions of members. As a Machine Learning Analyst, you will leverage cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. Your work will impact millions of customers, members, and employers who rely on Cigna daily. Your extreme focus on speed to market and passion to transform healthcare will be key to the success of your role. Key Responsibilities: - Build scalable software solutions using Large Language Models (LLMs) and other ML models to address challenges in healthcare. - Develop enterprise-grade AI solutions with a focus on privacy, security, and fairness. - Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert, architect, and develop scalable, resilient, ethical AI solutions. - Utilize strong engineering skills to design AI outputs with nodes and nested nodes in JSON or array, HTML formats as needed for consumption and display on dashboards. - Build extensible API Integrations and low code UI/UX solutions with short cycle times to extract information, integrate with GPT4, receive insights, and make them available in intuitive, high-performing dashboards. - Align solutions with responsible AI practices, envision solution outcomes, and design viable solutions to meet business objectives. - Architect and develop software or infrastructure for scalable, distributed systems with machine learning technologies. - 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. - Create clear and concise documentation to communicate complex AI concepts to technical and non-technical stakeholders. - Contribute to establishing best practices and standards for generative AI development within the organization. Qualifications Required: - 3 years of Full stack engineering expertise with languages like C#, Python, and proficiency in designing architecture, building API integrations, configuring and deploying cloud services. - 1 year of experience in a technical leadership role leading project teams and setting technical direction. - 1 year of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. - Degree in Computer Science, Artificial Intelligence, or a related field. - Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. - Knowledge of data structures, algorithms, and software engineering principles. - Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. (Note: Additional details about Evernorth Health Services were not provided in the job description.) Role Overview: You will be joining a team at Evernorth Health Services, a division of The Cigna Group, that is transforming healthcare and improving the lives and vitality of millions of members. As a Machine Learning Analyst, you will leverage cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. Your work will impact millions of customers, members, and employers who rely on Cigna daily. Your extreme focus on speed to market and passion to transform healthcare will be key to the success of your role. Key Responsibilities: - Build scalable software solutions using Large Language Models (LLMs) and other ML models to address challenges in healthcare. - Develop enterprise-grade AI solutions with a focus on privacy, security, and fairness. - Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert, architect, and develop scalable, resilient, ethical AI solutions. - Utilize strong engineering skills to design AI outputs with nodes and nested nodes in JSON or array, HTML formats as needed for consumption and display on dashboards. - Build extensible API Integrations and low code UI/UX solutions with short cycle times to extract information, integrate with GPT4, receive insights, and make them available in intuitive, high-performing dashboards. - Align solutions with responsible AI practices, envision solution outcomes, and design viable solutions to meet business objectives. - Architect and develop software or infrastructure for scalable, distributed systems with machine learning technologies. - 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. - Create clear and concise documentation to communicate complex AI concepts to technical and non-