About The Company :
Squad's AI-powered enterprise SaaS platform provides all of the tools an operations team needs to automate their business processes. This helps them scale with unprecedented SLAs of speed, accuracy, flexibility, and cost. Leaders in online commerce like Uber, Sephora, Tata Group, Flipkart, Rocket Internet, Teespring and other data-intensive businesses use our platform across their entire data cycle.Here's why should you consider us seriously
We have an audacious vision of reimagining how work gets done! We're one of the few applications of AI/ Machine Learning that actually has a massive market and business model to create a long term valuable business rather than a short-term acquisition play!
In the last one year, we have built a product and solved problems for some of the largest brands in the world and tested platform at scale (processed 50+ million units of data). We have plans to grow 10x in the next 1.5 years.
We are a well-balanced team of experienced entrepreneurs and are backed by top investors across India and the Silicon Valley (Blume Ventures, 91springboard, senior product execs at Square, Genpact & Flipkart; co-founders of Infosys, Snapdeal, Slideshare, Zomato etc).
The platform empowers college students, stay at home mothers and gray collared workers as a stable source of income for working on their smartphone (Android App Link). Our contractors earn 3x of what a typical back office BPO employee makes. For us, this is truly impactful. Every day, we see success stories such as this one - how a single mother is sustaining herself. Empowering our contractors to be financially independent is a strong part of our vision!
This is just the beginning and us here to change the world!
Squadrun is in Incs Top30 US startups.SquadRun: The startup thats helping the likes of Flipkart and Snapdeal become profitable.Automation startup Squad gets $2.1m from Indian, Silicon Valley angels
Please go through the following links to build context about Squad :
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Job Location: Noida

Years of experience: 1+ Years

Course Specialization: B.Tech/B.E(C.S/I.T)

Target Batch Passout: 2014-2016

Training/Probation Period: None

Salary: INR 9 LPA - INR 12 LPA cash + ESOP up to 7L (The final CTC will depend upon candidate’s performance in the interview, experience and will be at the company’s discretion)

Bond/Probation : NONE

Tentative date of Joining: Immediate

Tenative date of interview: Will be communicated post registration window is closed

* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Last Date to Apply: 29 May 2017

Job Description and Skill Set Required:

- You would need to apply the best machine learning techniques to various aspects of business process automation and help businesses perform operational work with 10X efficiency (cost, speed, quality) than existing alternatives.
- We’re looking for a growth hungry early member who would like to apply machine learning to a real product right from the ground-up.
- You would closely work on building a start-of-the-artwork automation pipelines for our platform product with the ML Scientist:
- Workforce management to acquire, qualify, match, train and verify / Quality Control.
- Workflow engine to replicate each business process smartly with different configurations.
- Work automation (SquadAI) to help contractors by automating part of the workflows and ‘Humans ’in the loop machine learning to automate cognitive decisions once we have enough quality training data.
- Facilitate data driven experiments to derive product insights.
- Participate in research in artificial intelligence and machine learning applications from time to time.

Desired Requirements:

- Experience with modeling techniques such as generalized linear models, cluster analysis, random forests, boosting, decision trees, time-series, neural networks, deep learning etc.
- Experience using programming (Python/R/Scala) and SQL languages in analytical contexts.
- Experience with distributed machine learning and computing framework would be a plus (Spark, Mahout or equivalent).

Interview Process:

- Form
- Phone Screen
- Activity
- Coding Round
- Face to Face / Skype Round
- Call with Founder for Culture Fit