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

Add office photos

Engaged Employer

ABBYY

Compare

3.8

based on 3 Reviews

1 ABBYY Principal Software Engineer Job

Principal Software Engineer - AI Platform (Tech Lead)

ABBYY

3.8

based on 3 Reviews

6-9 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Principal Software Engineer - AI Platform (Tech Lead)

ABBYY

posted 1mon ago

Job Role Insights

Key skills for the job

Computer Science Python Healthcare Automation Testing Machine Learning Clinical Data Management

+ 3 more

Job Description

Architect and implement state-of-the-art AI platform infrastructure, from conception to production deployment
Drive technical decision-making for platform architecture, scalability, and operational excellence
Establish best practices for platform development, testing, and deployment workflows
Design and implement infrastructure for ML model training and serving at scale
Lead the development of robust data management and versioning systems
Pioneer innovative solutions for ML infrastructure optimization

Team & Project Leadership

Lead and mentor a team of senior platform engineers
Foster a culture of technical excellence, innovation, and continuous learning
Drive cross-functional collaboration with ML engineers, researchers, and product teams
Define technical roadmaps aligned with business objectives
Champion system reliability, security, and compliance standards
Guide career development and growth of team members

Infrastructure & Scale

Partner with ML teams to design and optimize data pipelines for large-scale training
Architect solutions for efficient real-time and batch inference systems
Ensure robust monitoring and maintenance of production ML systems
Drive improvements in platform performance, efficiency, and reliability

Job Requirements:

Education & Experience

MS or PhD in Computer Science, Engineering, Mathematics, or related field
10+ years of experience in Software Engineering, with focus on platform/infrastructure development
Proven track record of building large-scale distributed systems in production environments
Strong background in cloud-native technologies and ML infrastructure

Technical Expertise

Deep expertise in designing and building scalable distributed systems
Strong programming skills in Python and proficiency with multiple languages
Extensive experience with cloud platforms and modern DevOps practices
Demonstrated expertise in building and optimizing large-scale data processing pipelines
Strong background in ML infrastructure and deployment systems

Leadership & Communication

Proven ability to lead and mentor technical teams
Strong track record of driving technical decisions and innovation
Excellence in cross-functional collaboration and technical communication
Recognized expertise in platform engineering and distributed systems

This role offers the opportunity to shape the future of AI infrastructure while leading a talented team of engineers. The ideal candidate will combine technical excellence with strategic thinking to deliver innovative solutions that drive business value.

Here are some of our local benefits: