Full Stack Developer for AI Solutions
7 days ago
About Evernorth Health Services:
A leading healthcare company creating pharmacy, care, and benefits solutions to improve health and increase vitality.
We innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.
Role Title: Full Stack Engineer
Title: Software Engineering Lead Analyst
Position Summary:
This is an exciting opportunity for a highly technical and motivated individual to join our AI CoE team as a Full Stack Software Engineer. You will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness.
The ideal candidate will have a strong background in full stack development, including experience with Angular, React JS, and cloud platforms like AWS or Azure.
You will work directly with business partners and other IT team members to understand desired system requirements and deliver effective solutions within the Agile methodology.
Your primary responsibilities will include providing design solutions for portal integrations, enhancements, and automation requests.
Key components of this role include developing user interfaces, building and consuming RESTful APIs, and integrating with various Robotic Process Automation (RPA) platforms.
As a technologist, you will bring a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment.
Estimated Salary: $120,000 - $180,000 per year.
Required Skills and Qualifications:
Full Stack Development Skills:
- Proficiency in HTML/CSS/JavaScript and front-end frameworks like React, Angular, or Vue.js.
- Experience with server-side languages such as Python or Node.js.
- Knowledge of database management systems like MySQL or MongoDB.
DevOps and Cloud Skills:
- Experience with containerization and orchestration using Docker and Kubernetes.
- Knowledge of continuous integration and deployment tools and practices.
- Familiarity with cloud platforms like AWS or Azure for deploying and managing applications and AI models.
AI and Machine Learning Skills:
- Foundations in machine learning and deep learning algorithms.
- Knowledge of generative models like GANs and VAEs.
- Understanding of natural language processing techniques and libraries like spaCy or NLTK.
Education and Training Required:
Degree in Computer Science, Artificial Intelligence, or a related field.
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