Senior AI Engineer, Enterprise Platform & Production AI

0200 Ares Operations LLC

Los Angeles (CA)

On-site

USD 150,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
401(k) with company match
FSA
HSA with company contribution
Parental leave
Education sponsorship

Job summary

Ares Management LLC in Los Angeles is seeking a Senior Associate, AI Engineer to help build and operate the firm's enterprise AI platform and production AI capabilities. You will work with AI engineers, data engineers, product managers and technology teams to deliver production-grade AI services and applications.

The role combines software engineering with Generative AI and ML solutions, focusing on enterprise-grade architecture, security, and reliability across investment and corporate

Qualifications

  • Bachelor's degree in CS, engineering, math, data science, or related field.
  • 4+ years of professional software or ML engineering experience.
  • Hands-on experience with ML/Generative AI and data-intensive apps.
  • Strong Python and API development skills.
  • Experience with cloud platforms, APIs, and production-grade software.

Responsibilities

  • Design, develop, test, and operate production-grade AI services and applications.
  • Write clean, tested production Python code and APIs.
  • Develop reusable AI services and workflows across the firm.
  • Participate in design reviews, tests, and production support.
  • Collaborate with AI engineers, data engineers, product managers and business teams.

Skills

Python development
API design
Software engineering
Cloud platforms
Data engineering

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Azure
Databricks
LangChain

Job description

Ares Management LLC in Los Angeles is seeking a Senior Associate, AI Engineer to help build and operate the firm's enterprise AI platform and production AI capabilities. You will work with AI engineers, data engineers, product managers and technology teams to deliver production-grade AI services and applications.

The role combines software engineering with Generative AI and ML solutions, focusing on enterprise-grade architecture, security, and reliability across investment and corporate

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