XPO India Shared Services
We are seeking a highly skilled **Lead Data Scientist** with deep expertise in **Generative AI, Retrieval\-Augmented Generation (RAG), and productionizing advanced machine learning models**. The ideal candidate will have strong experience in **MLOps and ML Engineering**, ensuring scalable, reliability, and secure deployment of AI solutions into production environments. This role requires both technical leadership and strategic vision to drive impactful AI initiatives across the organization.
+ Lead end\-to\-end model lifecycle: data preparation, feature engineering, training, evaluation, deployment, and monitoring.
+ Implement best practices for **model governance, reproducibility, and scalability**.
+ Collaborate with engineering teams to ensure seamless integration of AI solutions into production systems.
+ Partner with product and business stakeholders to translate complex AI concepts into actionable business value.
+ Drive innovation by evaluating emerging AI technologies and frameworks.
+ Develop monitoring frameworks for **model drift, bias detection, and performance degradation**.
+ Champion responsible for AI practices and security\-first approaches.
+ Strong background in **MLOps** (CI/CD for ML, model monitoring, orchestration tools like MLflow, Kubeflow, Airflow).
+ Solid ML Engineering skills: **Python, PyTorch/TensorFlow, distributed training, cloud platforms (AWS, Azure, GCP)**.
+ Experience with vector databases (e.g., **Pinecone, Weaviate, FAISS**) and retrieval systems.
Be part of something big
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