> Markdown version of [/jobs/ext/613504-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/613504-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** ALEXANDER TECHNOLOGY GROUP - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $215,000.0 - **Contract:** Permanent contract - **Skills:** 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, Generative AI, HuggingFace, Data Pipelines - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ee43d0943a7c69bb ## About the Role 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. ## 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [May I interest you in ... R?](https://www.wearedevelopers.com/videos/445-may-i-interest-you-in-r) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)