Industrial Design Engineer

Note: Salary will be offered based on your overall experience and last drawn salary.

Job Title: Python / Django Backend Developer

Experience: 3+ Years

Location: Gurgaon (Onsite)

Work Mode: 5 Days Working

About the Company

We are hiring for a product-based global furniture and homeware organization with operations in the UK and India. The company builds and maintains in-house digital platforms focused on design-to-delivery, supply-chain, and logistics. The team focuses on building scalable, high-performance internal systems.

Roles & Responsibilities

• Design, develop, and maintain RESTful APIs and backend services using Python & Django / Django REST Framework
• Build scalable, secure, and optimized database schemas and queries using PostgreSQL/MySQL
• Collaborate with frontend, product, and QA teams for end-to-end feature delivery
• Write clean, reusable, and testable code following best engineering practices
• Optimize application performance, reliability, and scalability
• Participate in code reviews, documentation, and CI/CD processes
• Deploy and manage backend services on cloud infrastructure and web servers

Required Skills & Qualifications

• Strong proficiency in Python and Django / Django REST Framework
• Solid understanding of relational databases (PostgreSQL/MySQL)
• Experience with REST API design, authentication & authorization
• Working knowledge of AWS services: EC2, ELB, S3, IAM, RDS
• Experience configuring and managing Nginx/Apache
• Familiarity with Git, Docker, and CI/CD workflows
• Strong problem-solving and debugging skills

Preferred Qualifications

• Experience with cloud platforms (AWS/GCP/Azure)
• Familiarity with microservices architecture
• Experience with Celery, RabbitMQ, Kafka
• Knowledge of testing frameworks (Pytest, unittest)
• Exposure to e-commerce platforms or high-traffic scalable systems

Inshorts is looking for people to work as Proofreaders in the English Editorial Team. Eligibility criteria include an experience of 0-2 years for the post in the field of English media.

Location: Noida

CTC: 100% hike on current CTC

Responsibilities: 

>Checking for spelling and grammatical mistakes in the headlines and body copies

>Verifying all the facts in a particular story before publishing

>Checking for the authenticity and accuracy of images used for shorts

>Making sure that any story is not repeated

>Have to look after the growth of the concerned team while adding to the overall growth of the company 

Desired Skills/Qualification:

>Strong command over the English language

>General awareness

>Good at spotting mistakes

>Sound logical skills

>Experience of 0-2 years

Company Profile:

Inshorts is a content consumption and discovery app which provides news and other content in 60 words. It was started in 2013 with the aim of keeping people informed by presenting news in an easily consumable format. It is the highest-rated news app on Google Play Store.

• Public clouds, such as AWS, Azure, or Google Cloud Platform
• Automation technologies, such as Kubernetes or Jenkins
• Configuration management tools, such as Puppet or Chef
• Scripting languages, such as Python or Ruby

Role / Purpose - Lead Developer - API and Microservices

Must have a strong hands-on development track record building integration utilizing a variety of integration products, tools, protocols, technologies, and patterns.

• Must have an in-depth understanding of SOA/EAI/ESB concepts, SOA Governance, Event-Driven Architecture, message-based architectures, file sharing, and exchange platforms, data virtualization and caching strategies, J2EE design patterns, frameworks
• Should possess experience with at least one of middleware technologies (Application Servers, BPMS, BRMS, ESB & Message Brokers), Programming languages (e.g. Java/J2EE, JavaScript, COBOL, C), Operating Systems (e.g. Windows, Linux, MVS), and Databases (DB2, MySQL, No SQL Databases like MongoDB, Cassandra, Hadoop, etc.)
• Must have experience implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee and frameworks such as Spring Boot for Microservices
• Should have Advanced skills in implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee or similar frameworks such as Spring Boot for Microservices 
• Appetite to manage large-scale projects and multiple tracks
•  Experience and knowhow of the e-commerce domain and retail experience are preferred
•  Good communication & people managerial skills

• Excellent communication skills required

  • Should have the experience in working with the

  US, UK, and European customers

  • Developing and maintaining the prospect

  database

  • Market research and testing in new and growing

  markets

  • Lead generating campaigns via telephone and

  email

  • Demonstration and consultation meeting booking

  campaigns

  • Assisting the sales team to progress the sales

  cycle

  • Producing reports to show productivity
  • Email marketing campaigns

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology