Aspirant - Data Science & AI

at Busigence Technologies

Aspirant - Data Science & AI

Busigence Technologies

Company

Home

Aspirant - Data Science & AI

at Busigence Technologies

Posted by Seema Verma

0 - 10 yrs

₹3L - ₹9L / yr

Bengaluru (Bangalore)

Skills

Data Science

Big Data

Machine Learning (ML)

Statistical Analysis

Deep Learning

Python

TensorFlow

Analytics

APPLY LINK: http://bit.ly/2yipqSE Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Aspirant - Data Science & AI Team: Sciences Full-Time, Trainee Bangaluru, India Relevant Exp: 0 - 10 Years Background: Top Tier institute Compensation: Above Standards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 100 different techniques (we averaged out this figure with our past aspirants who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have required callibre to learn PySpark within four weeks once joined us R7. Good to have required callibre to grasp underlying business for a problem to be solved R8. Good to have understanding on CNNs, RNNs, MLP, Auto-Encoders - at basic level R9. Good to have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted R10. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK R11. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute Y2. Relevant experience of 0 - 10 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with content, codes & workarounds, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to careers@busigence.com For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/data-science Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

APPLY LINK: http://bit.ly/2yipqSE Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Aspirant - Data Science & AI Team: Sciences Full-Time, Trainee Bangaluru, India Relevant Exp: 0 - 10 Years Background: Top Tier institute Compensation: Above Standards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 100 different techniques (we averaged out this figure with our past aspirants who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have required callibre to learn PySpark within four weeks once joined us R7. Good to have required callibre to grasp underlying business for a problem to be solved R8. Good to have understanding on CNNs, RNNs, MLP, Auto-Encoders - at basic level R9. Good to have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted R10. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK R11. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute Y2. Relevant experience of 0 - 10 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with content, codes & workarounds, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/data-science Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

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About Busigence Technologies

Founded :

2012

Type :

Product

Size :

20-100

Stage :

Bootstrapped

About

Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions.

Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world's most pressing problems differently thereby significantly impacting thousands of souls, everyday.

We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products.

In past we have served fifty five customers and presently developing our second product, Robonate . First was emmoQ - an emotion intelligence platform. Third offering, H2HData , an innovation lab where we solve hard problems through data, science, & design.

We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.

We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace.

Our mission is to make the world decision intelligent. We envision to have worked on atleast 1% of worlds data by 2020.

Why Explore a Career at Busigence

This section should have been entitled - Why Explore a Challenge at Busigence. What?

Busigence is not for everyone. This is the strongest differentiator. How?

Skills are secondary for us. We believe in intentions, not capabilities. Why?

------------------------------------------------------------------------------------------------------------------------

If the above three are not understood and/or interest you, we would encourage you refrain applying to us. You won't be actually able to work with us.

80-85% candidates looks for a job in an open position. 85-98% forsee a career in it. Hardly 2% are able to realise it as a challenge, which may satisfy their soul.

We look for these 2%. PERIOD.

If you happen to be fortunately falling in this group then world is too small for you. Reason being there are very few organisations which can really meet your expectations.

We can! Busigence works on real hard problems. Solving customer's problem is our passion.

1. We do where world is moving. Artificial Intelligence. Real AI.

2. We are a real startup culture (this is not bean bags or open office or flexible hours. It is a spirit to create something which doesn't exist).

3. We hire creme de la creme. Coincidentally, it happens to be candidates from topmost tier (IIT & equivalent). People enjoy working with like minded people.

4. You will be empowered everyday and make you feel an entrepreneurial trait in you.

5. This will be Greatest Work of Your Life. Promise!

Busigence Interview Process

We don't hire, we handpick - Believe with us. Laugh with us. Work with us.

For formality,

Step 1 : Apply iff you meet Real Role's & Ideal You's

Step 2 : Round 0: First call followed by Application Form

Step 3 : Round 1: Technology/ Process/ Business Capability Evaluation

Step 4 : Round 2: Day Spent (1 or 2 days) working with us

Enough. We are Done.

Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions.

We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace.

Our mission is to make the world decision intelligent. We envision to have worked on atleast 1% of worlds data by 2020.

Why Explore a Career at Busigence

This section should have been entitled - Why Explore a Challenge at Busigence. What?

Busigence is not for everyone. This is the strongest differentiator. How?

Skills are secondary for us. We believe in intentions, not capabilities. Why?

------------------------------------------------------------------------------------------------------------------------

If the above three are not understood and/or interest you, we would encourage you refrain applying to us. You won't be actually able to work with us.

80-85% candidates looks for a job in an open position. 85-98% forsee a career in it. Hardly 2% are able to realise it as a challenge, which may satisfy their soul.

We look for these 2%. PERIOD.

If you happen to be fortunately falling in this group then world is too small for you. Reason being there are very few organisations which can really meet your expectations.

We can! Busigence works on real hard problems. Solving customer's problem is our passion.

1. We do where world is moving. Artificial Intelligence. Real AI.

2. We are a real startup culture (this is not bean bags or open office or flexible hours. It is a spirit to create something which doesn't exist).

3. We hire creme de la creme. Coincidentally, it happens to be candidates from topmost tier (IIT & equivalent). People enjoy working with like minded people.

4. You will be empowered everyday and make you feel an entrepreneurial trait in you.

5. This will be Greatest Work of Your Life. Promise!

Busigence Interview Process

We don't hire, we handpick - Believe with us. Laugh with us. Work with us.

For formality,

Step 1 : Apply iff you meet Real Role's & Ideal You's

Step 2 : Round 0: First call followed by Application Form

Step 3 : Round 1: Technology/ Process/ Business Capability Evaluation

Step 4 : Round 2: Day Spent (1 or 2 days) working with us

Enough. We are Done.

Connect with the team

Seema Verma

Connect

Company social profiles

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Improve system uptime to 99.9% customer-facing SLA within 4 months
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SLAs / SLOs / error budgets
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Set up a 24/7 incident response rotation across 3 engineers
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Define:
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Ensure issues are detected before customers report them

6. Reduce operational fragility

Remove single points of failure (people, systems, workflows)
Improve system resilience across:
Deployments
Integrations
Runtime environments

What success looks like

Uptime reaches 99.9%+ reliably
Incidents are:
Detected early
Contained quickly
Resolved permanently
No dependency on a single individual for escalation
System behavior becomes predictable and stable
Engineering teams ship with higher reliability confidence

Who you are

You have 2-5 years of experience in SRE / DevOps / backend systems
You have worked on production systems with real uptime expectations
You think in:
Systems
Failure modes
Trade-offs
You are comfortable debugging live, high-pressure environments

What will make you stand out

Experience with:
Distributed systems
Cloud infrastructure (AWS / Azure / GCP)
Monitoring & alerting tools
Have built or improved:
Incident response systems
Reliability frameworks
Strong debugging skills across:
Infra
Application
Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

You will define reliability standards for a production AI platform
Your work directly impacts:
Customer trust
Product performance
Enterprise readiness
You will move the system from reactive → predictable

What this role is not

Not just monitoring dashboards
Not limited to handling tickets
Not dependent on escalation to leadership

What this role is

A builder of reliability systems
A guardian of uptime and performance
A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Investment Manager

at Talent Pro

Posted by Mayank choudhary

Mumbai

4 - 7 yrs

₹11L - ₹17L / yr

Investment management

Business strategy

Strong investor management profile

Mandatory (Experience): Must have 4+ years of fundraising experience startups, AIFs, or investment products), investor management and network building

Mandatory (Tech Skills 1): Must be proficient in pitching investment opportunities and onboarding investors

Mandatory (Tech Skills 2 ): Must have experience conducting investor meetings & presentations

Mandatory (Tech Skills 3): Must have experience achieving revenue targets

Mandatory (Tech Skills 4): Must have experience representing the company at networking events

Mandatory (Tech Skills 5): Must understand startup valuation basics, portfolio reporting, investment products.

Mandatory (Tech Skills 6): Must prepare investment proposals, performance reports, and KPIs.

Mandatory (Education): No strict requirement, but finance background preferred.

Mandatory (Note): Must have high ownership and target-driven mindset.

Preferred

Preferred (Company): Preferably from VC firms, AIFs, Wealth Management, Investment Banking, or startup fundraising roles.

Preferred (Industry): Events industry