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ML/NLP Engineer

WisdomAICompetition: Moderate • Entry Level
|Bengaluru|By CampusToCareer Editorial Team|Posted 6 days ago|Last verified 6 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jul 9, 2026
💼 Experience Required
2 Years
🕒 Employment Type
Full-time
🎓 Target Batch
Any
🚀 Role Category
ML/NLP Engineer
📌 How to Apply
Click on the Apply button
💰 Salary
30-50 LPA
Skills Recommended
Strong analytical skillsNLPsearch/retrievalLLMsevaluation pipelines
Career Guide • 10 min read

Complete preparation guide for ML/NLP Engineer at WisdomAI

As an ML/NLP Engineer at WisdomAI, you will work on fundamental problems in LLM-based code-generation, document understanding, context synthesis, and LLM-based agents. You will build workflows/agentic pipelines for complex analytical workloads, design evaluation frameworks, and work closely with customers and founders to define the product and engineering roadmap.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 3 Jul 2026

About WisdomAI

WisdomAI is a cutting-edge technology company that builds AI-powered analytics to help people unlock clarity from complexity. With a mission to provide access and insights from data to everyone, WisdomAI is trusted by companies like Cisco, Patreon, and Rubrik. The company is committed to building a diverse, inclusive team where everyone can do their best work.

Required Skills Explained

Strong analytical skills

Why required: To work with hard NLP problems and design evaluation frameworks

How recruiters evaluate: The recruiter will evaluate your ability to analyze complex problems and design effective solutions

  • Coursera's Machine Learning course
  • edX's Natural Language Processing course

NLP

Why required: To work on LLM-based code-generation, document understanding, and context synthesis

How recruiters evaluate: The recruiter will evaluate your knowledge of NLP concepts and techniques

  • Stanford University's Natural Language Processing with Deep Learning Specialization
  • NLTK library documentation

Search/retrieval

Why required: To design and implement efficient search and retrieval systems

How recruiters evaluate: The recruiter will evaluate your understanding of search and retrieval algorithms and data structures

  • Apache Lucene documentation
  • Google's Search and Retrieval course

LLMs

Why required: To work on LLM-based code-generation, document understanding, and context synthesis

How recruiters evaluate: The recruiter will evaluate your knowledge of LLMs and their applications

  • Transformers library documentation
  • Hugging Face's Transformers course

Evaluation pipelines

Why required: To design and implement effective evaluation frameworks

How recruiters evaluate: The recruiter will evaluate your understanding of evaluation pipelines and metrics

  • Apache Beam documentation
  • Google's Evaluation Pipelines course

Who Should Apply

freshers

Freshers with a strong background in Computer Science and NLP can apply, but experience working in startup/fast-paced teams is highly desirable

experienced

Experienced professionals with a background in NLP, search/retrieval, and LLMs can apply

graduates

Graduates with a degree in Computer Science or related field can apply

btech

B.Tech graduates with a background in Computer Science can apply

mca

MCA graduates with a background in Computer Science can apply

diploma

Diploma holders with a background in Computer Science can apply

Typical Hiring Process

  1. Initial Screening: The recruiter will review your resume and cover letter to ensure you meet the minimum qualifications
  2. Technical Interview: You will be asked technical questions related to NLP, search/retrieval, and LLMs
  3. Problem-Solving Round: You will be given a problem to solve, and the recruiter will evaluate your analytical skills and problem-solving abilities
  4. Final Interview: You will have a final interview with the founders or senior engineers to discuss your fit with the company culture and vision

Resume Tips for This Role

  • Highlight your experience working with NLP, search/retrieval, and LLMs
  • Include projects or research papers related to NLP and LLMs
  • Emphasize your analytical skills and problem-solving abilities

Interview Preparation Tips

  • Be prepared to answer technical questions related to NLP, search/retrieval, and LLMs
  • Practice problem-solving and whiteboarding exercises
  • Show enthusiasm and interest in the company's mission and vision

Possible Interview Questions (5)

  1. What is your experience with NLP and LLMs?
  2. How would you design an evaluation framework for a search engine?
  3. Can you explain the concept of attention in LLMs?
  4. How would you optimize a search query to improve retrieval efficiency?
  5. Can you describe a project you worked on that involved NLP or LLMs?

Salary Insights (India)

Industry range

The average salary for an ML/NLP Engineer in India is around 25-40 LPA

Freshers

Freshers can expect a salary range of 15-25 LPA

Experienced

Experienced professionals can expect a salary range of 30-60 LPA

The salary range may vary based on experience, location, and company size

Career Path Roadmap

1
Senior ML/NLP Engineer

You will lead a team of engineers and work on complex projects involving NLP and LLMs

2
Technical Lead

You will be responsible for the technical direction of the company and lead the engineering team

3
Director of Engineering

You will oversee the entire engineering organization and make strategic decisions

Why This Opportunity Is Worth Considering

  • You will work on cutting-edge technology and contribute to the development of innovative products
  • You will have the opportunity to work with a talented team of engineers and learn from them
  • You will have a significant impact on the company's growth and success

Things To Know Before Applying

  • The company culture is fast-paced and dynamic, and you need to be able to adapt quickly
  • The company is committed to building a diverse and inclusive team
  • The company offers opportunities for growth and professional development

Recommended Courses

Natural Language Processing with Deep Learning Specialization
Stanford University

This course provides a comprehensive introduction to NLP and deep learning

Transformers course
Hugging Face

This course provides a detailed introduction to transformers and LLMs

Career Advice

To succeed in this role, you need to have a strong background in NLP, search/retrieval, and LLMs, as well as excellent analytical skills and problem-solving abilities

Editorial Note: This role is ideal for professionals who are passionate about NLP, search/retrieval, and LLMs, and want to work on cutting-edge technology and contribute to the development of innovative products
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The company culture is fast-paced and dynamic, and we are committed to building a diverse and inclusive team
We offer opportunities for growth and professional development, including training and mentorship programs
The typical career path for an ML/NLP Engineer includes roles such as Senior ML/NLP Engineer, Technical Lead, and Director of Engineering

Similar Roles to Explore

NLP EngineerMachine Learning EngineerSearch EngineerLLM Engineer
Application trackerSkill learning pathsDaily coding practice
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Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

Location

Bengaluru

Employment Type

Full time

Location Type

On-site

Department

Engineering

Overview

Application

We are WisdomAI.

We exist to help people unlock clarity from complexity.

WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We’re trusted by companies like Cisco, Patreon, and Rubrik — and we’re just getting started.The problems here are hard, and the expectations are high. Our team is energized by both. If you’re compelled by ambitious problems, high standards, and meaningful ownership, you’ll thrive here.

About Wisdom

WisdomAI has the mission to provide access and insights from data to everyone. We believe in the power of data to drive better decisions and we believe with Generative AI, there is an opportunity to bring a disruptive change in how employees access insights within their organization. This is a great time to join the company as we have multiple Fortune 100 companies as paying customers and still are early enough that you will get to define a lot of the product/engineering roadmap.

Role

We are looking for exceptional ML/NLP engineers to join our team. We are working on fundamental problems in LLM based code-generation, document understanding, context synthesis and LLM based agents. Our team consists of experts from companies like Glean, Apple, Rubrik, Google and Meta.

Job responsibilities

Build workflows/agentic pipelines for complex analytical workloads.

Design evaluation framework and carry out evaluations of our query processing engine.

Work closely with customers and founders to define the product and engineering roadmap.

Shape up the engineering culture and tech stack for the company.

Qualifications

Strong analytical skills and proven ability to work with hard NLP problems.

Background in search/retrieval, LLMs, and evaluation pipelines is plus.

Experience working in startup/fast paced teams is highly desirable.

Bachelor's or Master's degree in Computer Science or related field.


Our CRAFT

CRAFT isn’t a list of aspirational values. It’s how we hire, how we promote, how we resolve hard calls, and how we stay honest with ourselves.

C — Customer trust. Everything starts here. We listen carefully, act with integrity, and respond with urgency. Delight is downstream of trust — never the other way around.

R — Relentless on outcomes. We move with urgency, take initiative, and see things through. Effort isn’t the measure — results are. If something isn’t working, we change the approach now.

A — Authenticity. We say the hard things, directly and with respect. We also show up as full humans. That combination is how trust is earned and how we grow together.

F — First principles, grounded in reality. We don’t accept “that’s how it’s done.” We strip problems to what’s actually true and build up from there — then validate quickly and let real-world results decide.

T — Transparency. We share the why, not just the what. When something can’t be shared, we say so. We’re one team — information flows so we can do our best work and challenge each other when we’re wrong.


Equal opportunity employer

WisdomAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse, inclusive team where everyone can do their best work.