Description :

Experience : 8 - 10 Years

Location : Hyderabad

Role Focus : Hands-on leadership, GenAI implementation, and MLOps delivery.

Role Overview :

Exponential AI is seeking a high-caliber AI Lead to head our next-generation AI/ML initiatives. In this role, you will act as a "Technical Captain," bridging the gap between complex architectural blueprints and production-ready code.

You will lead a squad of engineers to build and fine-tune Large Language Models (LLMs), implement RAG pipelines, and establish robust MLOps workflows. The ideal candidate is a hands-on expert who can mentor junior talent while ensuring the technical excellence of our ENSO platform.

Key Responsibilities :

- GenAI Execution : Lead the design, fine-tuning (LoRA, QLoRA), and deployment of LLMs using frameworks like LangChain, LlamaIndex, and Hugging Face.

- RAG & Search Systems : Build and optimize Retrieval-Augmented Generation pipelines, managing vector databases (Pinecone, FAISS) and semantic search logic.

- Production Engineering : Establish MLOps best practices, including CI/CD pipelines for ML, automated testing, and model drift detection.

- Feature & Data Pipelines : Design scalable data pipelines for feature engineering and preprocessing using Spark, Kafka, or Airflow.

- Team Mentorship : Directly mentor junior ML engineers, leading technical design reviews and enforcing high engineering standards.

- Observability : Build systems for tracking model latency, data quality, and performance using Prometheus and Grafana.

Technical Requirements :

- GenAI Mastery : 3+ years focused on GenAI/LLMs, prompt engineering, and model quantization.

- ML Stack : Expert-level Python with PyTorch, TensorFlow, or scikit-learn.

- Containerization : Proficiency in Docker and Kubernetes for orchestrating ML workloads.

- MLOps Tools : Hands-on experience with MLflow, Kubeflow, or SageMaker