Lead Data Scientist

Jobtailor

Gurugram District

On-site

INR 4,500,000 - 7,500,000

Full time

14 days+

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Job summary

Jobtailor is seeking a senior AI/ML leader in India to define and steer enterprise AI initiatives. You will design and deploy cutting-edge ML/DL models (LLMs, GANs, CV) and build end-to-end MLOps pipelines. The role emphasizes agentic AI for autonomous task orchestration, model explainability, and fairness.

You will collaborate with Azure-based teams and mentor a growing data science group, while translating business needs into scalable AI solutions.

Qualifications

10+ years in data science/AI with team/tech leadership experience.
Proficiency in Python and deep learning libraries (PyTorch, TensorFlow, Hugging Face, OpenCV).
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job_responsibilities_description:[

Responsibilities

Define and lead the execution of AI/ML strategies aligned with organizational goals.
Design and deploy advanced ML/DL models including LLMs, GANs, and CV solutions.
Implement agentic AI systems that support autonomous orchestration of complex tasks.
Development of MLOps pipelines for versioning, retraining, testing, and deployment.
Champion best practices for experimentation, model explainability, and fairness.
Collaborate with cloud engineering teams to ensure seamless integration on Azure AI stack (e.g., Azure ML, Cognitive Services, OpenAI).
Mentor and review the work of junior and mid-level data scientists, ensuring quality and innovation.
Engage with business stakeholders to translate challenges into AI opportunities.

Skills

Python

Deep Learning

Computer Vision

Generative AI

Natural Language Understanding

MLOps

Version Control

CI/CD

Agentic AI Principles

Tools

Azure

OpenAI

LangChain

Semantic Kernel

Cognitive Services

Job description

Define and lead the execution of AI/ML strategies aligned with organizational goals.
Design and deploy advanced ML/DL models including LLMs, GANs, and CV solutions.
Implement agentic AI systems that support autonomous orchestration of complex tasks.
Development of MLOps pipelines for versioning, retraining, testing, and deployment.
Champion best practices for experimentation, model explainability, and fairness.
Collaborate with cloud engineering teams to ensure seamless integration on Azure AI stack (e.g., Azure ML, Cognitive Services, OpenAI).
Mentor and review the work of junior and mid-level data scientists, ensuring quality and innovation.
Engage with business stakeholders to translate challenges into AI opportunities.

Requirements

10+ years of experience in data science, ML, or AI, with at least 3 years in a team/tech leadership role.
Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Hugging Face, OpenCV.
Extensive experience in computer vision, generative AI, and natural language understanding.
Deep knowledge of agentic AI principles and orchestration tools (LangChain, Semantic Kernel, etc.).
Proven Azure cloud experience: deploying models via Azure ML, handling data via Azure Blob/Data Lake, using Azure OpenAI services.
Strong grasp of software engineering practices - version control, testing, CI/CD for ML (MLOps).
Strong communication and problem solving skills.
Ability to articulate complex technical concepts to non-technical audiences.
Proven track record in delivering AI projects to production and scaling them.

Core Competencies

Demonstrates expertise in defining and executing AI/ML strategies, with a strong focus on deploying advanced ML/DL models and MLOps pipelines. Proven ability to mentor teams and engage stakeholders to translate business challenges into AI solutions.

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