Job Description

Salary: $140,000 - 185,000 per year Requirements:

• I hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
• I have over 3 years of experience in MLOps, DevOps, or a comparable field with a strong focus on machine learning.
• I have at least 1 year of experience in developing solutions on the AWS cloud platform.
• I am proficient in Python and/or Java, equipped with strong coding and debugging expertise.
• I have familiarity with continuous integration & delivery (CI/CD) methodologies.
• I possess proven experience in building containerized systems like Docker.

Responsibilities:

• I will develop and oversee the deployment of machine learning models in production environments, focusing on scalability, reliability, and efficiency.
• I will design and implement automated workflows and pipelines for model training, testing, and deployment using tools such as Jenkins, Docker, and Kubernetes.
• I will design, develop, and maintain robust APIs for the integration of models with various applications and services.
• I will collaborate closely with data scientists, software engineers, and other stakeholders to comprehend requirements and translate them into technical solutions.
• I will implement monitoring and logging solutions to track model performance and system health, optimizing as needed to achieve business objectives.
• I will ensure that all deployed models and systems comply with industry standards and regulations, implementing critical security measures.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• DevOps
• Docker
• Java
• Jenkins
• Kubernetes
• Machine Learning
• Marketing
• Network
• Python
• Security
• API
• Support

More:

At Fidelity TalentSource, we are your go-to source for discovering your next temporary position at Fidelity Investments. We are currently looking for a Machine Learning Ops Engineer in Westlake, TX. Our FI AI and Analytics Platform team is in need of a dedicated Machine Learning Operations Engineer to contribute to our AI/ML platform, supporting our FI Business partners. This role is pivotal in providing cutting-edge cloud-based data solutions across the broader FI organization, which enhances capabilities in Sales, Marketing, Finance, and AI/ML Analytics. I envision you as a key contributor to solutions that assist our Data Science Agile teams within the FI Data Engineering and Enablement Product Area.

We follow a hybrid working model that combines the best of on-site and off-site experiences; working on-site is essential to our strategy and culture, while we also appreciate the flexibility that off-site work provides. Most hybrid roles require associates to work onsite every other week.

Fidelity TalentSource, formerly known as Veritude, serves as the internal temporary staffing provider for Fidelity Investments, one of the leading global financial services firms. Our goal is to recruit individuals from diverse backgrounds to fulfill roles across Fidelity’s U.S. locations. If you’re interested in experiencing our inclusive workplace and enhancing your skills while expanding your professional network, consider a role with us.

Fidelity TalentSource is committed to accommodating applicants with disabilities by providing necessary adjustments in the application or interview process as needed. We pride ourselves on our dedication to diversity and inclusion, valuing the unique perspectives and experiences of all our associates. Fidelity Investments and Fidelity TalentSource are equal opportunity employers.

last updated 40 week of 2025

Job Tags

Full time, Temporary work,

Similar Jobs