789 Ai Machine Learning Ops Engineer jobs in Los Angeles,CA

Background screening required
Experience: 5+ years of experience in a tools/applications implementation role, with a proven track record of managing data pipelines and business process automation.
The Core Stack (Required): Advanced programming proficiency in **SQL** and **Python** (including packages such as Pandas, NumPy, and Jupyter Notebooks).
Data Ecosystems (Required): Hands-on experience working with **Snowflake** (or similar Data Lake systems) and **Tableau**.
AI Tooling & Prompting: Foundational comfort with Large Language Models (specifically Claude or ChatGPT) and experience writing prompts or scripts to automate routine, manual tasks.
Communication & Autonomy: Outstanding ability to work independently with minimal technical supervision. Must be able to distill complex data logic into simple, clear business terms for non-technical stakeholders.
Data Integrity & Confidentiality: Proven experience handling highly sensitive, classified financial data and unreleased business insights with the utmost discretion.

L3Harris Technologies

Anaheim, CA 92899

Bachelor of Science degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent from a four-year college or university; and minimum 6 years of experience in design and analysis of systems software for power conversion equipment.
Or a Master of Science or advanced degree preferred and a minimum of 4 years of prior related experience.
Or in lieu of a degree, minimum of 10 years of prior related experience.
Ability to obtain and maintain a secret/security clearance.
Expertise in embedded real-time systems software design.
Experienced in embedded C and C++ programming.
Expertise with communication protocols, such as RS-232, RS-485, and Ethernet.
Proven effective communication with Senior Project Management and customer representatives is essential.