DeepRec.ai · 1 week ago
Machine Learning Engineer (LLM)
DeepRec.ai is a fast-growing AI company focused on automating complex workflows in the financial services sector. As a Machine Learning Engineer specializing in LLMs, you will build and scale advanced AI systems and collaborate closely with various teams to enhance the company's automation solutions.
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
Qualification
Required
Strong proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Hands-on experience fine-tuning and training LLMs
PEFT, DPO, Prefence Optimization, post-training, supervised fine tuning, RLHF
Familiarity with AWS suite 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
Preferred
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