Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

For Employers

Add office photos

Employer? Claim Account for FREE

SPRINKLR

Compare

3.0

based on 323 Reviews

Video summary

21 SPRINKLR Jobs

Director of Machine Learning - AI

Sprinklr Solutions Pvt Ltd

3.0

based on 323 Reviews

6-11 years

Gurgaon / Gurugram

1 vacancy

Director of Machine Learning - AI

SPRINKLR

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Computer Science Data Analytics Python Machine Learning Instrumentation Engineering

+ 4 more

Job Description

Learn more about our culture and how we make our employees happier through The Sprinklr Way .

Job Description

What You ll Do

Develop and implement data science strategies to drive business growth.
Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions.
Lead the development of machine learning models using Python and other relevant tools.
Conduct regular model maintenance and optimization to ensure accuracy and efficiency.
Stay up-to-date with emerging trends and best practices in data science
Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, voice models etc.)
Mentor, guide, coach, coordinate training opportunities and support individual growth and technical skills across the engineering teams.
Enable continuous learning environment to keep abreast of industry trends. Partner with research organizations and explore innovation opportunities.
Leverage industry best practices and tools to continually improve teams ability to build, operate and maintain products.
Ensure that technical solutions are in line with established company strategy, standards in respect to architecture, security, corporate governance, coding standards, monitoring, logging, unit test, and service enablement.
As a director of machine learning, you will be responsible for overseeing the ML strategy, vision, and roadmap of your organization. You will also be leading and mentoring a team of ML professionals, and collaborating with other teams and departments.
You are expected to grow a strong bench of ML/AI leaders to help Sprinklr further expand its ML/AI footprint in company.

What Makes You Qualified

Bachelors or masters degree in computer science, mathematics, statistics, or related field.
8+ years of experience managing Machine Learning teams.
10+ years of experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed machine learning algorithms and systems.
Proficient in Python, GEN AI, ML, Natural Language Processing (NLP), Deep Learning (DL), and Graph Analytics.
Experience in directly working with cloud providers such as AWS, Azure, GCP is a plus.
Strong problem-solving skills and ability to work collaboratively in a team environment.
Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.
Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).
Obsession for service observability, instrumentation, monitoring, and alerting.

Employment Type: Full Time, Permanent

Read full job description