Director of Machine Learning - AI

Sprinklr; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sprinklr in Gurugram invites an experienced Senior ML Architect to lead data science initiatives and drive business growth. You will oversee the full ML lifecycle, mentor teams, and collaborate with product, engineering, and analytics to deploy scalable AI solutions.

Required are 10+ years in ML design and deployment, 8+ years in team leadership, and strong Python/NLP/Deep Learning expertise, with cloud experience on AWS, Azure, and GCP. This is an on-site role in Haryana.

Qualifications

• 8+ years of experience managing ML teams.
• 10+ years designing, building and deploying scalable ML systems.
• Proficiency in Python and ML stack.
• Experience with cloud platforms (AWS/Azure/GCP).

Responsibilities

• Develop and implement data science strategies to drive business growth.
• Lead the development and optimization of machine learning models using Python and relevant tools.
• Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions.
• Mentor and guide a team of ML professionals, fostering growth and technical skills across the engineering teams.
• Stay up-to-date with emerging trends, ensuring best practices are followed for model development and implementation.
• Oversee the full machine learning lifecycle, ensuring solutions are scalable, resilient, and aligned with company strategy.

Skills

Python

Gen AI

NLP

Deep Learning

Graph Analytics

Education

Bachelor's or Master's degree in Computer Science/Mathematics/Statistics

Tools

AWS

Azure

GCP

Job description

Role Responsibilities

• Develop and implement data science strategies to drive business growth.
• Lead the development and optimization of machine learning models using Python and relevant tools.
• Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions.
• Mentor and guide a team of ML professionals, fostering growth and technical skills across the engineering teams.
• Stay up-to-date with emerging trends, ensuring best practices are followed for model development and implementation.
• Oversee the full machine learning lifecycle, ensuring solutions are scalable, resilient, and aligned with company strategy.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 8+ years of experience managing machine learning teams.
• 10+ years of experience in designing, building, deploying, and maintaining scalable machine learning systems.
• Proficiency in Python, GEN AI, NLP, Deep Learning, and Graph Analytics.
• Experience with cloud platforms like AWS, Azure, and GCP.
• Strong problem-solving and collaborative skills, with a focus on delivering results in fast-paced environments.
• Familiarity with operating machine learning solutions at scale, covering the entire ML workflow. .