Data Scientist -nlp, Deep Learning, Genai
- Enable Data
- 5 - 8 years
- Remote
- 8 days ago
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Job 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.
Required Skills
- 5 8 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: Enable DataLocation(s): Remote+ View Contact
Keyskills: deep learning Stakeholder Engagement Product engineering data science Cloud model development Deployment Monitoring Python
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Enable Data
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.
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