Hybrid ML Engineer (LLM) for Scalable Finance AI

DeepRec.ai; Boston (MA); Hybrid; USD 170,000 - 200,000; Full time

Job summary

A fast-growing AI company is seeking a Machine Learning Engineer to build and scale advanced systems powering multi-agent workflows. The role involves designing and productionizing large language models, optimizing their performance, and collaborating with cross-functional teams. Essential skills include proficiency in Python and ML frameworks, hands-on experience with LLMs, and familiarity with AWS. This is a full-time position based in Boston, offering flexibility for hybrid work.

Qualifications

• Strong proficiency in Python and ML frameworks like scikit-learn, TensorFlow, and PyTorch.
• Hands-on experience fine-tuning and training large language models (LLMs).
• Familiarity with AWS suite for deploying ML models.

Responsibilities

• Build, fine-tune, and productionize LLM pipelines.
• Develop APIs and data pipelines for AI conversations.
• Collaborate with data scientists and DevOps for scalable solutions.

Skills

Python

TensorFlow

PyTorch

Multi-agent orchestration

Conversational AI systems

Job description

A fast-growing AI company is seeking a Machine Learning Engineer to build and scale advanced systems powering multi-agent workflows. The role involves designing and productionizing large language models, optimizing their performance, and collaborating with cross-functional teams. Essential skills include proficiency in Python and ML frameworks, hands-on experience with LLMs, and familiarity with AWS. This is a full-time position based in Boston, offering flexibility for hybrid work.