MLOps Engineer

18 hours ago


New York, United States Harnham Full time

6 Month Contract - High Likelihood of Extension

**THIS ROLE IS HYBRID AND BASED IN NYC - URGENT NEED SO RELOCATION REQUIREMENT WILL NOT BE CONSIDERED**

Role Responsibilities:

  • Develop and implement MLOps pipelines to automate the end-to-end machine learning workflow.
  • Design and maintain infrastructure as code, ensuring scalability and reliability of data processing.
  • Build event tables for effective data ingestion and storage, focusing on vector databases.
  • Create and manage code for data ingestion, including automated versioning using GitHub Actions.
  • Collaborate with data scientists to integrate LLM frameworks and enhance machine learning models.
  • Monitor and capture errors during processes, ensuring timely notifications and resolutions via email alerts.
  • Optimize existing data pipelines and frameworks for efficiency and performance.
  • Work closely with cross-functional teams to ensure seamless integration of ML systems.
Qualifications:
  • Proven experience in data engineering and machine learning engineering, with a focus on MLOps practices.
  • Strong understanding of large language models (LLMs) and relevant frameworks, such as LlamaIndex.
  • Proficiency in cloud platforms, particularly AWS and Azure.
  • Experience with infrastructure as code tools and methodologies.
  • Familiarity with automated deployment processes and CI/CD practices.
  • Ability to work in a fast-paced environment and adapt to evolving technologies.
  • Hands-on experience in coding and problem-solving in a practical engineering role, preferably outside of corporate settings.
Ideal Candidate:
  • A "unicorn" candidate who blends expertise in data engineering and ML engineering with a touch of data science.
  • Self-motivated and innovative, with a strong desire to industrialize machine learning processes.

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