Machine Learning Engineer

ALEXANDER TECHNOLOGY GROUP
New York, NY, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$215,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Audio Signal Processing Big Data Python (Programming Language) Machine Learning Language Modeling Natural Language Processing Sentiment Analysis Text Mining Speech Recognition Chatbots Large Language Models
+3 more
Generative AI HuggingFace Data Pipelines

Job description

  • LLMs and Generative AI: Evaluating Generative AI systems for financial earnings call summarization, including topic extraction and Q&A chatbots.
  • Large-Scale Data Processing: Building and maintaining data pipelines for 40,000+ annual events, including real-time audio processing and automatic speech recognition (ASR).
  • Model Implementation: Implementing advanced language models (e.g., LLMs using LangChain) to generate insights.
  • Evaluation and Benchmarking: Maintaining internal leaderboards for task-specific benchmarks (e.g., using Hugging Face Spaces) to inform model selection and performance improvements.
  • Tools: Work involves Large Language Models (LLMs), LangChain, and advanced NLP techniques to generate insights, sentiment analysis, and topic extraction.

Pay range for the role is $185-215k

No third party candidates will be considered.

Requirements

Do you have experience in Text mining?, Our client is seeking a Machine Learning Engineer to join their team on a permanent basis. The ideal candidate is a Senior Developer with hands-on machine learning experience in production environments, particularly maintaining and expanding existing LLM-based applications rather than research-focused work. Experience with Model Context Protocol (MCP), Python, AWS, LangChain, and LangSmith is highly valued.

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