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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