Avatar for scaler
scaler
Actively Hiring
More jobs

Part-Time Forward Deployed Engineer Instructor - Remote

  • ₹24L – ₹26L • No equity
  • |Remote (
    Everywhere
    )
  • |4 years of exp
  • |Contract
Posted: 4 weeks ago• Recruiter recently active
Hires remotely in
Everywhere
Remote Work Policy

Remote only

Visa Sponsorship

Available

Collaboration Hours
9:01 PM - 11:59 PM
RelocationAllowed
Skills
Python
Machine Learning
SQL
Problem Solving
Verbal Communication
Machine Learning Data Science Python
NLP

About the job

Company: Scaler
Location: Remote, India
Engagement: Part-time
Commitment: Approximately 8–10 hours per week

Scaler is looking for experienced Forward Deployed Engineers (FDEs) who can share their industry expertise and help working professionals develop practical engineering and problem-solving skills.

We are looking for practitioners who have worked on real-world technical problems, translated business requirements into engineering solutions, and built or debugged software in production environments. The ideal candidate can explain their approach clearly and help learners understand how engineering concepts apply to practical business problems.

What you will do

  • Conduct live technical sessions for working professionals.
  • Share practical insights from your experience as a Forward Deployed Engineer.
  • Teach structured problem-solving, design thinking and solution design.
  • Help learners understand requirement gathering and translating ambiguous requirements into technical solutions.
  • Explain coding practices, debugging and root-cause analysis.
  • Cover database concepts and PostgreSQL through practical examples.
  • Guide learners on code structure, modularity, maintainability and code quality.
  • Resolve learner doubts and connect theoretical concepts with real-world engineering scenarios.

What we are looking for

  • 4+ years of professional experience, including at least 2 years of hands-on AI/ML or machine learning-related work.
  • Strong understanding of ML fundamentals, model evaluation, neural networks and relevant practical applications.
  • Ability to explain complex concepts in a structured, simple and engaging manner.
  • Availability to teach live sessions on Monday, Wednesday and Friday, 9 PM–12 AM IST.
  • Willingness to commit consistently for approximately 4–5 months.

Time commitment and compensation

  • Remote, part-time engagement.
  • Approximately 8–10 hours per week.
  • Fixed live-session schedule on Monday, Wednesday and Friday evenings.
  • Compensation of up to ₹16,000 per class, subject to the applicable compensation structure and eligibility.

Candidates will be evaluated on problem-solving and design thinking, coding skills, database and PostgreSQL knowledge, requirement gathering, debugging, communication, code structure, modularity and code quality.

Similar Jobs

Gyrus.AI company logo
Gyrus.AI
AI for Image/Video Analytics
StackPro company logo
StackPro
StackPro is a new age product & services studio, helping companies big or small go digital
FreightFox company logo
FreightFox
Delivering Efficient and Agile Industrial Logistics
OneAssure company logo
OneAssure
Insurance Distribution Platform & Technology Service Provider
Sosuv Consulting company logo
Sosuv Consulting
We provide specialised Product, Software Development and Support services to the global fi
Nexera company logo
Nexera
Answer engine for professional traders
CipherSchools company logo
CipherSchools
Creator economy led educational video streaming platform for students
MaxHome.ai company logo
MaxHome.ai
AI native operating system for residential real estate