DeepRec.ai
This range is provided by DeepRec.ai. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$160,000.00/yr - $200,000.00/yr 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 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! Employment 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
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$160,000.00/yr - $200,000.00/yr 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 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! Employment 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
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