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Machine Learning Engineer (LLM)

Machine Learning Engineer (LLM)

DeepRec.aiBoston, MA, United States
6 days ago
Job type
  • Full-time
Job description

Overview

US Recruitment Consultant : Guiding GenAI professionals towards their dream careers

Machine Learning Engineer (LLM)

Salary Competitive 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.

Responsibilities

  • 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.

Qualifications

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.
  • Employment details

  • Location : Boston, MA
  • Work arrangement : 2 days per week in-office
  • Salary : Competitive DOE
  • Job type : Full-time
  • How to apply : If you’d like to hear more, please apply or get in touch!

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