Senior LLM Engineer

Remote Full-time
Role: AI/ML Developer
Location: Fremont, CA & Plano, TX (Hybrid)
Duties/Key Responsibilities:
• Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
• Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.
• Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.
• Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.
• Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.
• Work with data sets of varying degrees of size and complexity including both structured and unstructured data.
• Piping and processing massive data-streams in distributed computing environments.
• Implement batch and real-time model scoring.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Apply business knowledge to analyze data, develop reports and solve problems
• Perform ad hoc analyses of data depending on business needs.
• Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.

Basic Qualifications:
• 5+ years of experience using Python to analyze disparate datasets
• 3+ years of experience supporting data science projects in a consulting environment.
• Vector Database experience
• 3+ year(s) of experience participating in projects that focused on one or more of the following areas:
• Building/Enhancing LLMs
• LLM Data Ingestion
• Statistics
• AI/ML
• ML Ops

Preferred Skills:
• Exercises sound judgment with ability to work independently through structured problem identification, mitigation, and resolution.
• You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible "can-do " attitude, and a commitment to success.
• Professional verbal and written communication.
• Undergraduate or Graduate degree preferred

For applications and inquiries, contact: [email protected]

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