Python Developer

About the company:
We’ve been at the forefront of agile development for more than a decade building highly scalable software that reaches across a variety of industry verticals, software platforms and device types. We help you bring a new product vision to market, accelerate your existing development efforts and create simplicity and meaning in a complex world through the power of people and technology.

Website: https://iqss.net/

Job location: Bangalore

Desired Experience: 0-1 Years

Batch Passout: 2017-19

Notice Period: 1 Month

Probation/Training Period: Fresher: 0 - 6 Months
                                       Experienced: 3 Months

Salary: INR 2 LPA - INR 5 LPA

(The final CTC will depend upon candidates’ performance & experience during the interview and will be at the company’s discretion)

Course Specialization: BE/B.TECH/MCA/BCA

Tentative date of joining: Immediate

Tentative 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.

Desired Skills:
Python Scripting, Python, Machine Learning, Data Mining, Artificial Intelligence, Algorithm Development, Algorithm Analysis, Data Fusion, Analytics, Data analytics.

- Write reusable, testable, and efficient code
- Design and implement of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Performance tuning, improvement, balancing, usability, automation
- Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features Machine Learning duties and responsibilities
- Design and develop machine learning algorithms
- Discover, design, and develop analytical methods to support novel approaches of data and information processing
- Design and develop novel algorithms
- Perform explanatory data analyses
- Generate and test working hypotheses
- Prepare and analyse historical data and identify patterns
- Own and manage knowledge sharing within a community

Interview Process:
- Telephonic Interview
- System test