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Senior Machine Learning Engineer - Remote

Posted 10 weeks ago
Software Development
Full Time
USA

Overview

As a Senior Machine Learning Engineer at Vivun, you will drive the design, development, and evolution of AI/ML solutions that are integral to the company's mission, collaborating closely with cross-functional teams to build and scale AI-driven solutions.

In Short

  • Design and develop LLM-powered AI solutions.
  • Oversee deployment and monitoring of machine learning systems.
  • Optimize and scale inference for real-time and batch processing.
  • Evaluate models/agents for quality assurance.
  • Build scalable data and ML infrastructure.
  • Collaborate with teams to align AI development with business needs.
  • Adapt to the dynamic agentic/LLM development space.
  • Ensure adherence to security standards and data governance.

Requirements

  • 7+ years of experience in data and ML systems.
  • BS/MS/PhD in Computer Science or related field.
  • Strong proficiency in Python.
  • Deep knowledge of AI/ML algorithms.
  • Experience with SQL and databases.
  • Hands-on experience with AI/ML observability frameworks.
  • Understanding of CI/CD pipelines and API development.
  • Experience mentoring engineering teams.
  • Familiarity with tools like LangChain, Docker, and AWS.

Benefits

  • Competitive salary and full health benefits.
  • Stock options at a pre-IPO company.
  • Flexible work schedules and remote work.
  • Unlimited PTO with designated quiet periods.
  • Supportive team environment.
Vivun logo

Vivun

Vivun is a pioneering company specializing in Technical Sales solutions, recognized for introducing the world's first AI Sales Engineer. The company is committed to empowering organizations to leverage artificial intelligence to enhance technical expertise, improve product development, and optimize operations. With a diverse clientele that includes industry leaders like ADP, Coupa, Docusign, Elastic, Seismic, and Snowflake, Vivun's innovative solutions enable businesses to close deals more efficiently and cost-effectively.

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