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This listing was closed on Oct 15, 2026.
Browse Open JobsSenior ML Engineer - Search & LLM Ops
Summary by AIEngineer.careers
Senior ML Engineer - Search & LLM Ops is a LLM Engineer role (full-time). with jobgrow.pragatishilclasses.org. in REMOTE, WORLDWIDE. Imported listing (source: jobgrow.pragatishilclasses.org). Apply on the employer's site (jobgrow.pragatishilclasses.org).
Imported listing (source: jobgrow.pragatishilclasses.org) · Apply on jobgrow.pragatishilclasses.org
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobgrow.pragatishilclasses.org
RavenPack is seeking a Senior ML Engineer to lead the development of next-generation generative AI tools for the finance industry. The role focuses on integrating public information into search and LLM operations to help hedge funds and banks enhance returns and reduce risk. This position involves building scalable AI solutions that leverage big data analytics.
Responsibilities
- Develop and optimize generative AI tools for financial services clients
- Integrate public information sources into LLM-based search systems
- Collaborate with product teams to enhance risk reduction and efficiency features
- Maintain and scale big data infrastructure for real-time analytics
Requirements
- Senior-level experience in Machine Learning Engineering
- Strong background in Generative AI and Large Language Models (LLMs)
- Experience with search technologies and big data processing
- Ability to work in a remote, worldwide environment
Nice to Have
- Experience in the financial services or fintech sector
- Knowledge of hedge fund or banking data requirements
J
jobgrow.pragatishilclasses.org
Remote / not disclosed · ZZ
jobgrow.pragatishilclasses.org appears to be a job-board or recruiting site rather than a clearly identified operating company. Its pages advertise remote and entry-level roles, describe recruiting and candidate benefits, and state that the associated organization has no physical office anywhere; the site does not provide enough reliable information to establish a distinct company identity, business description, or products/services.
