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AuthBridge Research Services

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AuthBridge Research Services Learning Manager Interview Questions and Answers

Updated 16 Jul 2024

AuthBridge Research Services Learning Manager Interview Experiences

1 interview found

Learning Manager Interview Questions & Answers

user image Anonymous

posted on 16 Jul 2024

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. How is your experience valuable to Authbridge?
    • Add your answer
  • Q2. What methods of instructional design you have used in previous roles? What systems are you familiar with?
  • Ans. 

    I have used various methods of instructional design such as ADDIE, SAM, and Agile. I am familiar with systems like Articulate Storyline and Adobe Captivate.

    • Utilized ADDIE (Analysis, Design, Development, Implementation, Evaluation) model for creating training programs

    • Implemented SAM (Successive Approximation Model) for rapid development of e-learning courses

    • Utilized Agile methodology for iterative development and contin...

    • Answered by AI
    Add your answer
Round 2 - Technical 

(2 Questions)

  • Q1. How many family members? When did you get married?
    • Add your answer
  • Q2. Can you work 10 to 7?
  • Ans. 

    Yes, I can work 10 to 7.

    • I am able to work the requested hours without any issues.

    • I have previous experience working similar hours in my previous roles.

    • I am flexible with my schedule and can adjust as needed.

    • I understand the importance of meeting work requirements and deadlines.

    • Answered by AI
    Add your answer

Interview Preparation Tips

Interview preparation tips for other job seekers - Not recommended. Not a professional set up

Top trending discussions

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fathersahaab
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AmbitionBox
New Job, Higher Pay, Now I’m Feeling Awkward
I’ve been at my new job for about six months now, and everything’s been going great! I’m getting positive feedback from my manager, and I get along well with the team. The thing is, when I started, my salary offer ended up being much higher than the initial number discussed during my interview. I didn’t negotiate and just accepted the offer. So, fast forward to happy hour with the team, and the topic of salary comes up. I, unfortunately, shared what I’m making, and let’s just say... it didn’t sit well with the others who have been on the team for years and make less than me. They weren’t mad at me, but now I’m feeling a bit uncomfortable and unsure how to handle this situation. Has anyone had something like this happen? How did you deal with it? Let’s chat!
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Interview questions from similar companies

Machine Learning Engineer Interview Questions & Answers

Tiger Analytics user image Anonymous

posted on 12 Jul 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Python question on list comprehension
    • Add your answer
  • Q2. Python related questions
    • Add your answer

Machine Learning Engineer Intern Interview Questions & Answers

Quantiphi Analytics Solutions Private Limited user image Anonymous

posted on 11 May 2023

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Superset and was interviewed before May 2022. There were 5 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Assignment 

We had Assignment/test which consists of nearly
-87 MCQs
-3 coding questions


In mcqs, all fundamental cs subjects with maths, data science, ml, deeplearning questions.

In coding they asked
i) Nested list question (medium level)
ii) string and array question (easy leavel)
iii) related to dp (medium level)



Platform they used is hackerearth.

Round 3 - Technical 

(2 Questions)

  • Q1. Basic intro. Question on CS fundamentals. Question on Projects. Questions on python and coding. Question on classical ML, some deep learning concepts.
    • Add your answer
  • Q2. Classical ml concept and some deep learning concepts. Basic string, list, LinkedIn list, problem solving questions
    • Add your answer
Round 4 - Technical 

(2 Questions)

  • Q1. It was basically half technical and half HR
  • Ans. Asked about project. Indepth question in project. ML side projects. Some behaviour questions to make sure that u are capable to learn fast.
    • Answered Anonymously
    Add your answer
  • Q2. Question on projects
    • Add your answer
Round 5 - HR 

(3 Questions)

  • Q1. Basic intro News of selection
    • Add your answer
  • Q2. Just interaction, that ur selected
    • Add your answer
  • Q3. Basic interaction
    • Add your answer

Interview Preparation Tips

Topics to prepare for Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Intern interview:
  • DSA
  • Python
  • Machine Learning
  • Deep Learning
  • Problem Solving
Interview preparation tips for other job seekers - Clear about classical ml, nlp, cv, time series concepts.
Clear python understanding (intermediate level).
Good problem solving (try to solve DSA).

Machine Learning Engineer Interview Questions & Answers

Tiger Analytics user image Yashwant Chauhan

posted on 23 Jul 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Focus more on python funda,ental and spark

Round 2 - Assignment 

They will ask more on datarbcisk related stuff

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare well on python and prepare databricks adf and devops

Senior Machine Learning Engineer Interview Questions & Answers

Quantiphi Analytics Solutions Private Limited user image Prakhar Acharya

posted on 14 Apr 2023

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - One-on-one 

(4 Questions)

  • Q1. Project related questions
    • Add your answer
  • Q2. Questions on deep learning, nlp, cv, traditional ml
    • Add your answer
  • Q3. Questions related to cloud aws/gcp/azure any one would suffice
    • Add your answer
  • Q4. Deployment experience and questions
    • Add your answer

Machine Learning Engineer Interview Questions & Answers

Tiger Analytics user image Anonymous

posted on 22 Nov 2023

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - Coding Test 

It was 1 hour coding test with 2 questions. One was easy and another was medium level coding question.

Round 3 - Technical 

(3 Questions)

  • Q1. Few SQL Queries
    • Add your answer
  • Q2. Explain null hypothesis and p-value in terms of probability
  • Ans. 

    Null hypothesis is a statement that assumes no relationship or difference between variables. P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true.

    • Null hypothesis is a statement that assumes no effect or relationship between variables

    • P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true

    • Null hy...

    • Answered by AI
    Add your answer
  • Q3. Explain Linear and Logistic Regression
  • Ans. 

    Linear regression is used for predicting continuous numerical values, while logistic regression is used for predicting binary categorical values.

    • Linear regression models the relationship between a dependent variable and one or more independent variables using a linear equation.

    • Logistic regression models the probability of a binary outcome using a logistic function.

    • Linear regression is used for tasks like predicting hou...

    • Answered by AI
    Add your answer

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • SQL
  • Machine Learning
  • Data Science
  • Python
Interview preparation tips for other job seekers - Prepare for data science related questions and basic machine learning algorithms (Decision tree, PCA, etc.). Also prepare for SQL queries.

Skills evaluated in this interview

Machine Learning Engineer Interview Questions & Answers

Quantiphi Analytics Solutions Private Limited user image Anonymous

posted on 17 Nov 2021

I applied via Referral and was interviewed in May 2021. There were 4 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Explain the transformer architecture and positional encoders?
  • Ans. 

    Transformer architecture is a neural network architecture used for natural language processing tasks. Positional encoders are used to encode the position of words in a sentence.

    • Transformer architecture is based on the self-attention mechanism.

    • It consists of an encoder and a decoder.

    • Positional encoders are added to the input embeddings to encode the position of words in a sentence.

    • They are computed using sine and cosine...

    • Answered by AI
    Add your answer
  • Q2. Explain about project mentioned in resume?
    • Add your answer
  • Q3. Mostly NLP related questions
    • Add your answer

Interview Preparation Tips

Interview preparation tips for other job seekers - Stick to basics and explain projects in details

Skills evaluated in this interview

Machine Learning Engineer Interview Questions & Answers

Tiger Analytics user image Rijwan Mohammed

posted on 5 Jun 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Jun 2023. There was 1 interview round.

Round 1 - Coding Test 

4 technical questions, 1 python code, 2 SQL, 1 Spark

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • Spark
  • SQL
  • Python
  • Hadoop
  • Hive
Interview preparation tips for other job seekers - Be confident and good in your skills

Machine Learning Engineer Interview Questions & Answers

Quantiphi Analytics Solutions Private Limited user image Anonymous

posted on 10 May 2022

I was interviewed before May 2021.

Round 1 - Technical 

(2 Questions)

  • Q1. Asked about transformers
    • Add your answer
  • Q2. PCA and data science related questions
    • Add your answer

Interview Preparation Tips

Interview preparation tips for other job seekers - Be strong with your basics and have knowledge about NLP

Machine Learning Engineer Interview Questions & Answers

Tiger Analytics user image Anonymous

posted on 26 Aug 2017

I was interviewed in Jun 2017.

Interview Questionnaire 

3 Questions

  • Q1. Tell me about about yourself?
    • Add your answer
  • Q2. Tell about your academic or your hands on projects in which you are involved?
    • Add your answer
  • Q3. Expected CTC?
    • Add your answer

Interview Preparation Tips

Round: Resume Shortlist
Experience: This round was "General Introduction Round" in which we have to introduce about our self-tell about hobbies and our family background and some lines about our hometown.
Tips: Just be confident and speak loudly and boldly.

Round: Test
Experience: It was online coding round via skype in which 5 questions were given out of which we have to do any 2.
Tips: "More you will practice more you will learn".
Duration: 20 minutes
Total Questions: 5

Round: Technical + HR Interview
Experience: This round was a combo with both technical and job questions. Questions were asked from my resume, basics questions in technical, general definitions and major questions from my project.
Tips: Specifically for Engineers searching for Data Scientist or Machine Learning based jobs, focus on your projects have done and do involve in the projects either on GitHub or haggle.
Clear your basic concepts and have a good knowledge of programming language like Python, R etc.

College Name: IIIT Bhubaneswar
More about working at AuthBridge Research Services

AuthBridge Research Services Interview FAQs

How many rounds are there in AuthBridge Research Services Learning Manager interview?
AuthBridge Research Services interview process usually has 2 rounds. The most common rounds in the AuthBridge Research Services interview process are HR and Technical.
What are the top questions asked in AuthBridge Research Services Learning Manager interview?

Some of the top questions asked at the AuthBridge Research Services Learning Manager interview -

  1. What methods of instructional design you have used in previous roles? What syst...read more
  2. Can you work 10 to...read more

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AuthBridge Research Services Learning Manager Interview Process

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