Swiggy off campus Drive 2024- Machine Learning Engineer | Work From Home

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Swiggy off campus Drive 2024- Machine Learning Engineer | Work From Home

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 titleSwiggy
Web sitewww.Swiggy.com
Job FunctionMachine Learning Engineer – I
Work LocationBangalore, Karnataka (Distant)
Job SortFull Time
Expertise0-1 years
QualificationBachelor’s diploma in  Pc Science, Engineering, or a associated self-discipline.
BatchNot Talked about
Package dealINR 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.

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