Senior Machine Learning Engineer - LLM / Generative AI

Job Description :

Function : Data Science and Analysis - Data Science / Machine Learning

LLMs NLP Machine Learning Generative AI Python

As a Senior ML Engineer at Demandbase, you'll play a strategic role in building cutting-edge, production-level machine learning systems that drive deep technographic intelligence and high-impact business decisions. This role goes beyond conventional ML development and will architect and scale LLM-powered solutions that detect, classify, and map technographic signals from diverse sources (e. g., LinkedIn, SSL certs, blogs, and subdomains) to Demandbase's structured product catalog. You'll apply a combination of traditional ML, deep learning, and Large Language Models (LLMs) (e. g., LLaMA-3 Gemma, Mistral, GPT) to transform unstructured signals into actionable intelligence, pushing the boundaries of what's possible in entity resolution, product discovery, and dynamic catalog enrichment.

Responsibilities :

• Build scalable, production-ready ML + LLM hybrid systems for :

1. Technographic signal extraction.

2. Entity resolution from noisy data (e. g., LinkedIn job descriptions, SSL certs).

3. Product and category mapping via instruction-tuned LLMs and vector DBs.

1. Few-shot and zero-shot learning, Approximate nearest neighbors (ANN).

2. LLM-based reranking and metadata generation.

1. Ray, Dask, Deepspeed (for scalable inference).

2. MLflow, Airflow, Feast, Kubeflow (for lifecycle management and monitoring).

3. Vector DBs (e. g., FAISS, Weaviate) for embedding-based matching.

Requirements :

(ref : hirist.tech)