Senior Data Scientist

veltris; Telangana; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

veltris seeks a Lead Data Scientist to drive Generative AI initiatives and productionize ML models. You will lead data scientists and ML engineers, architect end-to-end ML pipelines, and collaborate with product teams to translate AI value into business outcomes.

You will own MLOps practices, model governance, monitoring for drift and bias, and ensure secure, scalable deployment across cloud platforms. Strong leadership and strategic vision are essential.

Qualifications

• Proven experience in Generative AI (LLMs, diffusion models, transformers) and RAG pipelines.
• Strong background in MLOps (CI/CD for ML, model monitoring, orchestration tools).
• Solid ML Engineering skills: Python, PyTorch/TensorFlow, distributed training, cloud platforms.
• Experience with vector databases and retrieval systems.

Responsibilities

• 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.
• Establish and optimize MLOps pipelines for CI/CD, deployment, and monitoring of ML models.
• Provide technical leadership and mentorship to data scientists and ML engineers.

Skills

Generative AI

RAG pipelines

MLOps

ML Engineering

Python

PyTorch

TensorFlow

Cloud platforms

Vector databases

Tools

MLflow

Kubeflow

Airflow

Job description

Job Information

• Work Experience 7 - 9 Years
• Date Opened 09/09/2026
• Industry IT Services
• Job Type Full Time Employment
• City Hyderabad/Pune
• State/Province Telangana
• Country India
• Zip/Postal Code 500001

Job Description

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.