Role : Lead Data Scientist

Mandate Years of Experience : 8+ Years (Individual Contributor)

Location : Permanent Remote Opportunity

Notice period : Immediate to 30 Days

Open Position : 4

Data Science lead (NLP, Deep Learning, GenAI)

Key Responsibilities :

- Develop end-to-end NLP and GenAI solutions, including text classification, summarization, RAG systems, conversational AI, and document intelligence pipelines.

- Build, finetune, 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.

- Interested candidates can share your resume to Pavithra.tr@enabledata.com for a quick response.

Education:

- UG: B.C.A. in Any Specialization, B.Tech / B.E. in Any Specialization, B.Sc in Any Specialization

- PG: M.Tech in Any Specialization, MCA in Any Specialization, MS/M.Sc(Science) in Any Specialization, MBA/PGDM in Any Specialization

Key Skills:

- Artificial Intelligence, Natural Language Processing, Azure Databricks, Deep Learning, Python, Tensorflow, Azure Machine Learning, Machine Learning