Lead Scientist, Data Science

XPO India Shared Services

• *Position: Lead Data Scientist****Team: XPO India Data Science team****Location: Hyderabad/Pune****Number of Position: 1****Relevant Experience: 7\+ years** **Position Overview**

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.

• *Key Responsibilities**

• **AI Solution Development**
• + Design, build, and productionize advanced ML/AI models, including **Generative AI** and **RAG\-based architectures**.

+ Lead end\-to\-end model lifecycle: data preparation, feature engineering, training, evaluation, deployment, and monitoring.

• **MLOps \& ML Engineering**
• + Establish and optimize **MLOps pipelines** for continuous integration, deployment, and monitoring of ML models.

+ Implement best practices for **model governance, reproducibility, and scalability**.

+ Collaborate with engineering teams to ensure seamless integration of AI solutions into production systems.

• **Leadership \& Strategy**
• + Provide technical leadership and mentorship to data scientists and ML engineers.

+ Partner with product and business stakeholders to translate complex AI concepts into actionable business value.

+ Drive innovation by evaluating emerging AI technologies and frameworks.

• **Operational Excellence**
• + Ensure AI models meet performance, reliability, and compliance standards.

+ Develop monitoring frameworks for **model drift, bias detection, and performance degradation**.

+ Champion responsible for AI practices and security\-first approaches.

• *Required Skills \& Experience**

• **Technical Expertise**
• + Proven experience in **Generative AI (LLMs, diffusion models, transformers)** and **RAG pipelines**.

+ 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.

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