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The Role
Lead development of end-to-end NLP and Generative AI solutions including text classification, summarization, RAG systems, conversational AI, and document intelligence. Build and fine-tune transformer-based LLMs, design embeddings and semantic search, deploy models with MLOps (Azure preferred), monitor performance, and collaborate with product and engineering teams.
Summary Generated by Built In
Key Responsibilities
- 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.
Required Skills
- 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.
Skills Required
- 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 or 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
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The Company
What We Do
Enable Data specializes in advanced data, application and cloud solutions working on cutting-edge projects driving innovation and transformation for our customers. We empower our customers to leverage modern solutions to deliver increased value across their business ecosystem. We help clients by providing consulting, managed project and staff augmentation services working with clients across various industries including healthcare, financial, media, insurance, and manufacturing.
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