Swiggy started hiring for multiple role 2021-2025 batches are eligible to apply Full Time

Swiggy started hiring for multiple role 2021-2025 batches are eligible to apply . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in Bangalore  India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Bangalore location jobs 

About Company :

Swiggy is India’s pioneering on-demand convenience platform, catering to millions of consumers each month. Founded in 2014, its mission is to elevate the quality of life for the urban consumer by offering unparalleled convenience. With an extensive footprint in food delivery, Swiggy Food collaborates with nearly 2 lakh restaurants across 600+ cities. Swiggy Instamart, its quick commerce platform operating in 43 cities, delivers groceries and other essentials across 20+ categories in 10 minutes. Fuelled by a commitment to innovation, Swiggy continually incubates and integrates new services like Swiggy Dine out and Swiggy Genie into its multi-service app.

Associate Software Development Engineer in Test 0-2 years experience

Are you passionate about ensuring flawless user experiences in mobile, web, and backend / Frontend applications? Swiggy is seeking dynamic individuals to join our engineering team as ASDETs. As an ASDET at Swiggy, you’ll be at the forefront of ensuring the reliability and functionality of our platform that thousands of restaurant partners rely on for seamless operations

Required Skills

• Solid grasp of Testing principles and methodologies.
• Fundamental understanding of HTTP and REST concepts.
• Proficiency in object-oriented programming.
• Strong analytical skills with a knack for problem-solving
• Ability to collaborate effectively within a team.
• Excellent verbal and written communication skills
• Familiarity with Selenium and Appium.
• Experience in Java, Selenium, or Appium is advantageous.
• Knowledge of cloud mobile testing tools like LambdaTest and BrowserStack is a plus.

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Data Scientist 0-3 years experience

Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues

Qualification

• Bachelors or Masters degree in a quantitative field with 0-3 years of industry/research lab experience
• Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
• Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
• Preferred: Experience working with ‘big data’ and shipping ML/DL models to production
• Required: Strong proficiency in Python, SQL, Spark, Tensorflow
• Required: Strong spoken and written communication skills
• Big plus: Experience in the space of ecommerce and logistics
• Experience in Generative AI
• Proven track record of developing and shipping ML and DL data products
• Experience in Agentic AI , LLMS and NLP
• Proficiency in Python

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Associate Data Scientist 0-1 Years experience

The Associate Data Scientist will play a critical role in ensuring production stability of data science systems. The engineer will be the first line of defense when alerts or incidents occur in production. The on-call support engineer role provides strong exposure to the intersection of Data Science, Engineering, and Operations. A career path can evolve into:

Qualification

• Monitoring automated alerts across domains.
• Executing defined incident response runbooks.
• Debugging issues using available RCA tools, observability tools, logs, and dashboards.
• Determining whether the issue is operational or model-related.
• Escalating to the model owner when necessary.
• Ensuring incident reports are logged with root-cause summaries and resolution notes.
• Every domain maintains a structured Incident Response Plan (IRP):
• Alerts – List of metrics and conditions that trigger an incident (e.g., data pipeline delays, sharp metric drops, API errors).
• Response – Step-by-step guide for initial checks (logs, dashboards, health checks).
• Tools to Debug – Domain-specific tools (Grafana, DBR notebooks, feature store dashboards).
• Escalation Triggers – Clear thresholds for escalation to model owners (data quality corruption, unexplained metric deviations).

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