Senior Data Scientist – NLP, Deep Learning, GenAI

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Enable Data

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

⚕️ Healthcare Insurance

🏢 Enterprise

SaaS • Healthcare Insurance • Enterprise

Enable Data is a company that offers modern IT solutions to empower its customers by leveraging innovative data analytics and cloud platforms to drive increased value across their business ecosystem. They specialize in the implementation of large-scale SAS applications, distributed rules engines for processing health-related data, and managing data ingest frameworks. Enable Data serves industries requiring advanced data analytics and IT solutions, with a particular focus on healthcare quality and big data management.

📋 Description

• Develop end‑to‑end NLP and GenAI solutions, including text classification, summarization, RAG systems, conversational AI, and document intelligence pipelines. • Build, fine‑tune, and evaluate LLM-based models using transformer architectures (BERT, GPT, T5, LLaMA, etc.). • Design and implement custom NLP workflows, embeddings, semantic search, vector databases, and prompt engineering strategies. • Develop scalable advanced ML models leveraging deep learning, traditional ML, and hybrid architectures. • Deploy models and AI apps using modern MLOps practices across cloud environments (Azure preferred). • Collaborate closely with product, engineering, and business teams to translate requirements into AI-driven solutions. • Monitor model performance, conduct error analysis, and continuously optimize pipelines.

🎯 Requirements

• 10+ years of experience in data science with deep hands‑on expertise in NLP and Generative AI. • Proficient in transformer models, embeddings, and modern NLP libraries (Hugging Face, spaCy, NLTK). • Strong Python skills with experience in PyTorch/TensorFlow for advanced model development. • Practical experience building RAG architectures, vector search, and prompt optimization. • Solid understanding of MLOps, model deployment, monitoring, and productionization. • Strong problem‑solving abilities with excellent communication and stakeholder engagement skills.