Is Fractal Analytics Inc hiring on Feedback AI?

Fractal Analytics Inc has 1 active open role on Feedback AI today. Roles are listed for New York, US and other hubs where posted. Browse open engineering listings on this company profile or sign up free to see AI match scores for each role.

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Feedback AI tracks 1 active Fractal Analytics Inc job listing right now. Counts refresh from live postings — inactive listings are removed from the public board.

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What is it like to interview at Fractal Analytics Inc?

This profile includes 718 Glassdoor-backed interview experiences when enrichment gates pass — process notes, difficulty, and sample questions where available. 16 company-specific practice questions are mapped for interview prep.

Fractal Analytics Inc

Business consulting · 1001 to 5000 Employees · New York, US

4.1(2,709)

Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies. Fractal's businesses include Crux co-pilot (AI driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management), Senseforth.ai (conversational AI for customer service) & Flyfish (generative AI for Sales). Fractal incubated Qure.ai, a leading player in healthcare AI for detecting Tuberculosis and Lung cancer. Fractal currently has close to 4500 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2023, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant™ for data & analytics by Gartner Inc. For more information, visit fractal.ai

Open roles tracked

Posted last 7 days

Posted last 30 days

Jobs at Fractal Analytics Inc ranked for your profile

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Culture signals

Work-life balance 4.1
Compensation 3.5
Culture 4.3

What employees say

+ Healthy Learning work environment Free Breakfast, lunch, snacks

− Senior Management After IPO, it is transforming as service based comapny no any major benefits for employee

Employee voices

Recent Glassdoor reviews · 2,709 total

Senior Data Engineer· PuneCurrent employee4.0/5

Supportive learning environment, but management issues persist

Pros: Healthy Learning work environment Free Breakfast, lunch, snacks

Cons: Senior Management After IPO, it is transforming as service based comapny no any major benefits for employee

View on Glassdoor

Lead Manager· MumbaiCurrent employee3.0/5

Good company, but long hours and micromanagement

Pros: Very good company overall. But also depends on the team you work in.

Cons: 14+ work hours, micro management. Low

View on Glassdoor

Senior Manager· Gurgaon, HaryanaCurrent employee5.0/5

Great culture with a focus on learning and balance

Pros: Good Culture and work life balance Focus on Learning and growth Free Food in office

Cons: Data Engineering and Fullstack compensation can be improved

View on Glassdoor

Data Engineer· MumbaiCurrent employee3.0/5

Nice culture, but pay is below market standards

Pros: The culture and people are nice

Cons: Underpaid compared to market standards for campus hires

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Data Engineer· Gurgaon, HaryanaFormer employee5.0/5

Good Company

Pros: It was a good experience , people were nice.

Cons: Rarely there can be some micromanagement

View on Glassdoor

Company review data sourced from Glassdoor.

Compensation benchmarks

Glassdoor salary estimates for top hiring roles

Role	Location	Median	Range (LPA)	Reports
Engineering	India	—	— – —	—

Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.

Interview questions at Fractal Analytics Inc

16 questions indexed · 7 role tracks

Practice company sets

Software Engineer (4)Full Stack Engineer (3)Business Analyst (2)General (2)Data Scientist (2)Data Analyst (2)

About Coding in oython and technical skills in Puthon
my background and what I have done in past
The interview was primarily focused on Generative AI concepts and their practical applications. Questions covered Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, embeddings, fine-tuning techniques, and AI agent frameworks. The interviewer also asked scenario-based questions on designing GenAI solutions, selecting appropriate architectures for different use cases, handling hallucinations, evaluating model performance, and addressing scalability, security, and deployment challenges. Additionally, there were discussions around real-world implementation of GenAI applications, model optimization, and best practices for building production-ready AI systems.
Puzzle and quiz to check your analytical thinking
How do you schedule a python script so that it can run even after the restart of server.

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Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.

Interview experiences

India-scoped Glassdoor interview reports · 718 total · avg difficulty 3.1/5 · 848 questions indexed

Practice 16 questions for Fractal Analytics Inc

Data Analyst· BengaluruDifficultno offer

They first started with explaining projects then they started going deep into it and then gave sql codes and one dsa code medium level leetvode and then at last asked me do you have any questions to ask

Sample questions

2 sql codes medium level , one dsa code medium level , projects

Data Engineer· IndiaDifficultaccept offer

There will 2 initial screenings from recruiter, Hiring manager. Then will be 2 technical hands-on interviews. Final will be HR rounds. There is kind of disconnect between the recruiter and HR often missed the scheduled calls, hence they call at random time and request for time.

Sample questions

Technical round was hands-on with SQL, scenario based interviews. most of the calls were video calls.

Senior Software Engineer· IndiaDifficultno offer

1st: OA 2nd Round: Technical Round 1:- DSA focused, JS fundamentals and Basic System Design 3rd Round: Technical Round2: In-depth System Design, AWS depth Questions, Resume Depth Questions. Prepare Resume Well.

Sample questions

How you will make the AI model?

Senior Data Scientist· IndiaAverageaccept offer

The interview process consists of 4 rounds: Round 1 – Online Assessment Round 2 – Technical Interview 1 A technical discussion covering core concepts, projects, coding, and hands-on experience. Round 3 – Technical Interview 2 (APEX Round) A more in-depth technical discussion focusing on advanced concepts, real-world scenarios, problem-solving, and technical expertise. Round 4 – HC Round The final HR/HC round covering role fitment, career goals, experience, compensation, notice period, and other HR-related discussions.

Sample questions

RAG, Python code, LLM Fundamentals, Agents, Gen ai related questions

Data Engineer· BengaluruAverageaccept offer

Interview consists of 4 rounds 1. Basic questions on Data Engineering, data warehousing and spark concepts. 2. A sightly advanced round where questions on spark, scenario based questions and SQL and pyspark questions where pseduo code is required. They just check logical thinking. 3. Fitment round - Previous project scenarios, how was it handled and behavioural 4. HR round

Sample questions

1. Difference between data warehouse and data lake

Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.

Open engineering roles

Deep Learning InternJaipur, Rajasthan · ENTRY · ON_SITE