Machine Learning Engineer (LLM)

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Overview US Recruitment Consultant: Guiding GenAI professionals towards their dream careers Machine Learning Engineer (LLM) – $160,000 - $200,000+ (DOE) – Boston, 2 days per week in-office We’re working with a fast-growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting-edge AI to simplify high-value processes, from multi-turn conversations to full workflow automation. What You’ll Do Build, fine-tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows. Develop APIs, data pipelines, and orchestration systems for multi-agent, multi-turn AI conversations. Integrate models with backend services, including voice orchestration platforms and transcript generation. Optimize model usage and efficiency, transitioning from external APIs to in-house solutions. Collaborate cross-functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions. What We’re Looking For Essential Skills & Experience Strong proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience fine-tuning LLMs (Hugging Face, PEFT). Familiarity with AWS (especially S3 for model management) and deploying ML models to production. Ability to reason deeply about ML principles, architectures, and design choices. Knowledge of multi-agent orchestration and conversational AI systems. Desirable Skills & Experience Experience with RLHF or preference optimization. Background in voice AI, speech-to-text, or text-to-speech systems. Exposure to financial services or insurance applications. Familiarity with optimizing models for long-context scenarios. If you’d like to hear more, please apply or get in touch! Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Information Technology Industries: Technology, Information and Media, Technology, Information and Internet, and Data Infrastructure and Analytics Cambridge, MA | Boston, MA postings are listed for context. This listing includes the core role and its requirements.
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Location:
Boston, MA, United States
Salary:
$250,000 +
Job Type:
FullTime
Category:
Engineering

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