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 ApplicableEmployment type : Full-timeJob function : Information TechnologyIndustries : Technology, Information and Media, Technology, Information and Internet, and Data Infrastructure and AnalyticsCambridge, MA | Boston, MA postings are listed for context. This listing includes the core role and its requirements.
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