We are looking for a highly skilled Data Scientist / AI Engineer to build advanced ML/Deep Learning models and scalable Generative AI solutions.

If youre passionate about NLP, LLMs, RAG systems, and production-grade AI deployments, this role is for you!.

Key Responsibilities :

- Design, train & evaluate ML models : classification, anomaly detection, forecasting, NLP.

- Build advanced DL architectures : RNN, GRU, LSTM, Transformers (BERT, T5, GPT).

- Develop scalable Generative AI & RAG pipelines.

- Optimize models quantization, low-latency inference.

- Fine-tune LLMs using SFT, LoRA, QLoRA (optional).

- Define evaluation metrics; monitor drift & retraining.

- Collaborate with engineering/DevOps for CI/CD & deployment.

- Write clean, reproducible, well-documented code.

Required Skills :

- 4- 5+ yrs hands-on in ML/Data Science.

- Strong Python, scikit-learn, pandas, PyTorch, TensorFlow.

- Deep experience in NLP & Transformer models.

- Knowledge of Generative AI tools (LangChain, LlamaIndex).

- Model quantization (INT8/dynamic/static).

- Experience with vector DBs : FAISS, Pinecone, Azure AI Search.

- ML deployment, monitoring & performance tuning.

- Familiarity with Docker, MLflow, CI/CD.

Preferred :

LLM fine-tuning (SFT, LoRA, QLoRA).

- Exposure to MLOps: SageMaker, Vertex AI, Kubeflow.

- Experience with Spark, Airflow.

- Contributions to research, open-source, ML/NLP blogs.