Senior AI/ML Engineer

Fidelity Investments - Smithfield, RI

Full-time - Senior

Smithfield, RI

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Workplace Investing AI Delivery Engineering Chapter team is seeking a Senior Machine Learning / MLOps Engineer to design, implement, and enhance technical solutions for AI model deployment, data pipelines, hosting, and API access tiers. This role is pivotal in supporting the Intelligent Automation AI Product Area, where the engineer will leverage their expertise to build AWS-based AI solutions. The focus will be on extracting data from both structured databases and unstructured data sources, utilizing AI algorithms to automate complex business challenges faced by the Workplace operations team. In this position, the engineer will engage in a blend of peer mentorship, application and API design, and hands-on work, collaborating closely with data scientists and business stakeholders. The ideal candidate will be an outspoken technologist with a profound passion for data and application design, eager to contribute to innovative solutions that drive business value. The role promises a dynamic work environment within an agile squad, emphasizing the use of cloud technologies and adherence to modern software engineering principles. The Senior Machine Learning / MLOps Engineer will be responsible for building feature engineering pipelines, deploying AI models, and optimizing model inference. This includes developing python-based APIs, working with security and data technologies, and utilizing infrastructure as code tools. The engineer will also design and develop machine learning and deep learning systems, ensuring robust deployment and analytics capabilities using AWS services.

Responsibilities

• Design and implement technical solutions for AI model deployment and data pipelines.
• Develop and optimize feature engineering pipelines for AI models.
• Create and maintain python-based APIs using frameworks like FastAPI or Flask.
• Collaborate with data scientists to integrate AI algorithms into business processes.
• Utilize AWS services for model deployment and data analytics hosting.
• Work with security and data technologies such as RDS/Postgres, Snowflake, and Airflow.
• Implement infrastructure as code using Terraform, Python, Ansible, or CloudFormation.
• Mentor peers and contribute to team knowledge sharing.
• Engage in hands-on development and troubleshooting of AI solutions.

Requirements

• 5+ years of experience as a Machine Learning engineer.
• Strong programming skills in Python and Java.
• Experience developing python-based APIs (FastAPI / Flask).
• Familiarity with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow).
• Proficient in infrastructure as code (Terraform, Python, Ansible, CFT).
• Experience designing and developing machine learning and deep learning systems.
• Demonstrated experience using AWS services, particularly Sagemaker and cloud-based data platforms.
• Superior SQL skills for deep data analysis across multiple database platforms.
• Bachelor's Degree or equivalent experience.

Nice-to-haves

• Experience with Generative AI solutions and Large Language Models.
• Familiarity with LangChain, Llama Index, Prompt Engineering, and Fine Tuning.