Backend Engineer

Cloud infrastructure solutions and support company. (SE1)

Backend Engineer

Multi Recruit

Company

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Backend Engineer

at Cloud infrastructure solutions and support company. (SE1)

Agency job

via Multi Recruit

4 - 8 yrs

₹28L - ₹36L / yr

Bengaluru (Bangalore)

Skills

SQL

Python

R Programming

AI Engineer

Set up

Manage

Automate

Deploy AI Models

Set up, manage, automate and deploy AI models in development and production infrastructure.
Orchestrate life cycle management of AI Models
Create APIs and help business customers put results of the AI models into operations
Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
Validate the AI Models
Make model performant (time and space) based on the business needs
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Processing, cleansing, and verifying the integrity of data used for analysis 
Ensuring that algorithms generate accurate user recommendations/insights/outputs
Keep abreast with the latest AI tools relevant to our business domain

Job Qualifications

Bachelor’s or master's degree in Computer Science, Statistics or related field 
A Master’s degree in data analytics, or similar will be advantageous.
3 - 5 years of relevant experience in deploying AI models to production
Understanding of data structures, data modeling, and software architecture
Good knowledge of math, probability, statistics, and algorithms
Ability to write robust code in Python/ R
Proficiency in using query languages, such as SQL
Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
Having knowledge in CI/CD for the building and hosting the solutions
We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Set up, manage, automate and deploy AI models in development and production infrastructure.
Orchestrate life cycle management of AI Models
Create APIs and help business customers put results of the AI models into operations
Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
Validate the AI Models
Make model performant (time and space) based on the business needs
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Processing, cleansing, and verifying the integrity of data used for analysis 
Ensuring that algorithms generate accurate user recommendations/insights/outputs
Keep abreast with the latest AI tools relevant to our business domain

Job Qualifications

Bachelor’s or master's degree in Computer Science, Statistics or related field 
A Master’s degree in data analytics, or similar will be advantageous.
3 - 5 years of relevant experience in deploying AI models to production
Understanding of data structures, data modeling, and software architecture
Good knowledge of math, probability, statistics, and algorithms
Ability to write robust code in Python/ R
Proficiency in using query languages, such as SQL
Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
Having knowledge in CI/CD for the building and hosting the solutions
We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

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Doctorate :

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● Perform load testing to understand potential scale issues and take corrective

measures.

● Integrate tools for incidence report and response, to ensure high availability of

the backend system.

● Drive Security practices implementation. (Troubleshoot incidents, identify root

cause, configuration, fix and document problems, patching systems for

vulnerabilities, and implement preventive measures)

● Maintain codes, users and API documentation.

● Setting up the CI/CD automation environment for web applications using

Jenkins/ECS.

● Manage Linux Virtual machines on EC2 ensuring correct VPC, Security Group

settings.

● Integrate automated data pipelines to enable analysis of usage patterns on 3rd

party analytics platforms.

Experience required: 3+ years relevant experience

Must Haves Skils-

Flask/Django, Python Backend Exp, Exp in Websockets, Async IO

Notice Period- Immediate/1months/ 2 months negotiable

Architect/Principal Engineer

at Swiggy

1 video

13 recruiters

Posted by Surendra Motamarri

Bengaluru (Bangalore)

8 - 20 yrs

₹50L - ₹80L / yr

Java

Data Structures

Algorithms

Python

NOSQL Databases

+6 more

Job description :- PSE at Swiggy not only contribute to the high-level Architecture of several systems but also contribute to the overall success of the product by driving technology and best practices in engineering in their respective teams.- They establish technology vision for respective teams and demonstrate how to solve a deeply complex and hard technical challenge, and help communicate that vision upward (leadership), inward (peers and engineering team) and outward (product & business teams)Job responsibilities :- Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.- Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.- Implementation of long term technology vision for your team.- Responsible for end to end architecture, high level design/ low level design of various systems and applications that you are assigned to- Creating architectures & designs for new solutions around existing/new areas- Decide technology & tool choices for your team & be responsible for them.- Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions.- Technically Hands-on, prior experience with scalable Architecture- Possess 8+ years of software engineering and product delivery experience, with strong- Excellent command over Data Structures and Algorithms- Exceptional coding skills in an Object-Oriented programming language (Java preferred)- Strong problem solving and analytical skills- Experience with web technologies, PHP/ Java, Python, Linux, Apache, MySQL, solr,- Good knowledge of distributed technologies, real time systems of high throughput, low latency and highly scalable systems- Experience with high performance websites catering to millions of daily traffic is a plusCompany profile : - Swiggy is India's largest food ordering and delivery platform. With a vision of Changing the Way India Eats, the company has more than 25,000 active restaurants partners across eleven cities in the country.- Swiggy's innovative technology, large and nimble delivery service, and customer focus enable a host of benefits including lightning fast deliveries, live order tracking, no restrictions on minimum order amounts, and strong customer support. With a huge a customer base and 5lac order per day. Swiggy is redefining the food tech industry.

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