Remote fresher entry level Machine Learning Enginner 1 hiring at Swiggy

Position:

• Title: Machine Learning Engineer - I

Company:

• Organization: Swiggy

Location:

• City: Bangalore, Karnataka, India
• Work Mode: Remote

Job Type:

• Employment Type: Full-time

Job Mode:

• Work Arrangement: Remote (flexible)

Job Requisition ID:

• Identifier: [Not provided]

Years of Experience:

• Required Experience: 0-1 years

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Company Description

• Swiggy stands as India’s largest on-demand delivery platform, driven by cutting-edge technology and a customer-first philosophy.
• Launched in 2014 as a hyperlocal food delivery service, Swiggy has evolved into a logistics powerhouse.
• The company serves over 500 cities in India, connecting customers with a vast array of restaurants.
• With an impressive fleet exceeding 2 lakh independent delivery executives, Swiggy ensures timely and reliable service.
• Boasting an employee base of over 5,000, Swiggy prioritizes a high-quality delivery experience for customers and a supportive environment for employees.
• Swiggy’s rapid growth is fueled by advanced machine learning (ML) and vast data processing, enabling quick, seamless service.
• Swiggy recently introduced new verticals, including Swiggy Instamart, Swiggy Genie, and Guiltfree, diversifying its services and expanding opportunities for employees.

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Profile Overview

• Swiggy seeks a proficient Machine Learning Engineer with a strong grasp of ML fundamentals and software development principles.
• This role emphasizes expertise in Spark, SQL, Python, and experience with large-scale data processing.
• Candidates should be familiar with cloud technologies, including AWS, Azure, or GCP, and possess skills in advanced machine learning tools.
• Responsibilities include building and deploying ML models across various platforms, collaborating with the data science team, and optimizing ML workflows.
• This role is integral to enabling data-driven decision-making by building tools and systems that streamline ML operations.
• Candidates will have the chance to contribute to Swiggy’s data product offerings and help integrate sophisticated algorithms.
• This position offers opportunities to work on innovative projects that directly impact millions of users and drive Swiggy’s logistical excellence.

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Qualifications

• Technical Skills:

  • Programming Languages: Proficiency in Python and SQL for data manipulation and analysis.
  • Data Processing Frameworks: Experience with Apache Spark for large-scale data processing.
  • API Integration: Ability to work with API integration to connect various systems and services.
  • Cloud Technology: Knowledge of cloud stacks, including AWS, Azure, or GCP.
  • Machine Learning Tools: Familiarity with TensorFlow, PyTorch, ONNX, and frameworks like Langchain (advantageous but not mandatory).
  • Orchestration Tools: Experience with Kubernetes for container orchestration and efficient model deployment.

• Core Competencies:

  • ML Fundamentals: Strong understanding of machine learning concepts, algorithms, and OOPs.
  • ETL Processes: Capable of developing and managing ETL pipelines to handle data at scale.
  • Business-Focused Thinking: Ability to think backward from business needs to create relevant data solutions.
  • Collaborative Approach: Able to work seamlessly with cross-functional teams, especially with the data science team, to meet organizational goals.

• Educational Background:

  • Degree in Computer Science, Data Science, Machine Learning, or a related field (preferred but not required if experience compensates).

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Additional Information

• Core Responsibilities:

  • Model Deployment: Develop and deploy machine learning models across different platforms, utilizing both in-house and external cloud services.
  • Data-Driven Decision Making: Work closely with data scientists to ensure ML solutions align with performance requirements, including considerations for scalability, latency, and throughput.
  • Algorithm Adoption: Drive the integration of complex algorithms and data mining methods to enhance Swiggy’s data-driven capabilities.
  • Product Development: Actively contribute to Swiggy’s suite of data products, supporting the enhancement of current services and the introduction of new, data-powered offerings.

• Equal Opportunity Statement:

  • Swiggy is committed to fostering an inclusive and equitable workplace.
  • All applicants are considered for employment without discrimination based on race, color, religion, sex, disability status, or other legally protected characteristics.

Please click here to apply.

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