Job Description:
Principal AI/Ml Engineer
The Role
The Workplace Investing AI Delivery Engineering Chapter team is seeking a Machine Learning / Gen AI engineer to design, implement and improve technical solutions for AI ML solutions in the healthcare.
The Expertise and Skills You Bring
Solid Experience (8+ years) as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
Strong programming skills in Python and Java.
Solid experience with developing python-based APIs needed (FastAPI / Flask).
Experience in designing and implementing graph data models that capture complex relationships, ensuring efficient querying and traversal.
Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT).
Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.
Experience working with development & deployment tools like Jenkins, Github, Artifactory, Sonar, etc.
Excellent SQL skills required and experience performing deep data analysis on multiple database platforms.
Experience working on ML model monitoring, observability and performance testing.
Experience with working on Gen AI solutions with Large Language Models, LangChain, Llama Index, Prompt Engineering and Fine tuning.
Bachelor’s Degree or equivalent experience.
As the AI Solution Lead, you’ll drive cutting-edge solutions across various AI applications, including recommendation systems, healthcare guidance, and information extraction using large language models (LLMs). These solutions will be deployed seamlessly across web platforms, mobile apps, and human interfaces.
Some soft skills we should be looking for:
Passion for Problem-Solving: We’re seeking someone who is genuinely passionate about tackling complex challenges. Whether it’s optimizing algorithms or designing innovative solutions, we value a problem-solving mindset.
Proactive Leadership: The ideal candidate will take the initiative to lead projects, collaborate with cross-functional teams, and drive results. Proactivity is a key trait we’re looking for.
Clear Communication: Effective communication is crucial. The AI Solution Lead will need to convey ideas clearly, whether it’s presenting findings to stakeholders or collaborating with team members.
The Team
The team is an agile squad in the Healthcare Intelligence Product Area in Healthcare Group. The squad intends to use cloud technologies and deploy solutions using all current software engineering principles. It’s a great chance to work on an agile team to help build innovative and high business value AI powered solutions to improve tough manual operations activities.
At Fidelity Health, we empower employers and employees to make confident healthcare decisions, leading to improved health and financial outcomes. Our mission is achieved through excellent customer service and engaging digital experiences, all designed with the flexibility to scale. Our wide range of solutions include health and welfare services, health and benefit accounts, and Medicare services. As we generate an abundance of data and insights, you will have the unique opportunity to make a significant impact and contribute to our success. You can learn more about us and our products here: https://www.fidelityworkplace.com/s/health
Certifications:
Category:
Information TechnologyFidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.
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