Swiggy off campus Drive for Machine Learning Engineer – I Function. Candidates can undergo the main points and apply utilizing the hyperlink offered on the backside of the Put up.
Swiggy off campus Drive 2024 – Machine Learning Engineer – I
| Firm title | Swiggy |
| Web site | www.Swiggy.com |
| Job Function | Machine Learning Engineer – I |
| Work Location | Bangalore, Karnataka (Distant) |
| Job Sort | Full Time |
| Expertise | 0-1 years |
| Qualification | Bachelor’s diploma in Pc Science, Engineering, or a associated self-discipline. |
| Batch | Not Talked about |
| Package deal | INR 9 – 22 LPA(Anticipated) |
Job Description
Swiggy off campus Drive 2024 – Machine Learning Engineer – I
Job Profile: Machine Learning Engineer – I
- Location: Bangalore, Karnataka (Distant)
- Expertise Required: 0-1 12 months
Place Overview
- Looking for a Machine Learning Engineer with stable understanding of:
- ML fundamentals and algorithms
- Object-Oriented Programming (OOP) rules
- ETL pipeline improvement
- Robust expertise with Spark, Python, and business-oriented problem-solving
Required Expertise
- Technical Expertise: Spark, SQL, Python programming, API integration, ML algorithms
- Cloud Companies: AWS, Azure, or GCP
- Extra Instruments: Kubernetes, Scala programming, TensorFlow, PyTorch, ONNX, Langchain (optionally available)
Key Duties
- Construct and deploy ML fashions throughout varied platforms, together with AWS and in-house methods, and combine with engineering providers.
- Collaborate with knowledge science groups to help scalable, low-latency, high-throughput options for improved decision-making.
- Facilitate the adoption of superior algorithms and knowledge mining methods.
- Help in creating and enhancing data-driven services and products.
Methods to Apply?
- To use for a job, learn via all data offered on the job itemizing web page fastidiously.
- Search for the apply hyperlink on the job itemizing web page, normally positioned someplace on the web page.
- Clicking on the apply hyperlink will take you to the corporate’s utility portal.
- Enter your private particulars and every other data requested by the corporate within the utility portal.
- Pay shut consideration to the directions offered and fill out all mandatory fields precisely and fully.
- Double-check all the knowledge offered earlier than submitting the applying.
- Make sure that your contact data is appropriate and up-to-date, and precisely mirror your {qualifications} and expertise.
- Submitting an utility with incorrect or incomplete data may hurt your probabilities of being chosen for an interview.