Harnham ยท 1 day ago
Senior Machine Learning Engineer
NYC Metro Area
Contract
Remote
Senior Level
Maximize your interview chancesAnalyticsConsulting
Hiring Manager
Ben Bochner
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Responsibilities
Experience with LamaIndex, Unstructured.io, and LLM evals : Expertise in using advanced tools for unstructured data ingestion, content parsing, and integration with Retrieval-Augmented Generation (RAG) systems to streamline data flows through complex, chained prompt workflows.
Specialized in complex content workflows : Proficient in parsing and processing intricate content types, ensuring seamless integration with RAG systems, and optimizing the flow through carefully designed prompt chains for specific, non-chatbot use cases (e.g., document analysis, data extraction).
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.
Qualification
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Required
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.
Preferred
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.
Company
Harnham
Harnham has actively chosen to focus on Data and Analytics.
Founded in 2006
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
BGF Ventures
2022-05-05Seed
Leadership Team
David Farmer
Co-Founder and Chief Executive Officer
Simon Clarke
Co-Founder and Executive Chairman
Recent News
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