Highlights
Dynamic team, supportive environment, research opportunities, real-time solutions, state-of-the-art tools
Description
Job Summary
pJoin Myntra's Data Science team as an intern in the Phoenix initiative, designed for women returning to work. Work on impactful projects like recommendation systems, computer vision, and generative AI. Contribute to research papers and real-time solutions with a dynamic, supportive environment.
Responsibilities
- Design and develop machine learning models and algorithms
- Deploy and maintain robust software solutions for model deployment
- Conduct data cleaning, feature extraction, and basic model training
- Monitor and optimize the performance of machine learning models
- Work with Data Platforms teams to understand and collect necessary data
Required Skills
- Python programming
- Machine learning algorithms
- Recommender systems
- Computer vision techniques
- Data processing with PySpark
Required Skills Explained
- Python: Essential for implementing machine learning models and algorithms.
- Machine Learning: Understanding of statistical models, ML algorithms like decision trees, neural networks, etc.
- Recommender System: Experience in designing and developing recommender systems.
- Computer Vision: Proficiency in computer vision techniques and their application in e-commerce.
- Pyspark: Knowledge of PySpark for handling large datasets efficiently.
Who is this for
pThis role suits recent graduates or individuals returning to work who have a passion for data science and experience in machine learning. Ideal candidates are curious learners, adept at problem-solving, and ready to take on challenging projects.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge projects in fashion e-commerce with a team that values innovation and creativity.liPotential for full-time employment after the internship, leading to long-term career growth within Myntra.liAccess to mentorship opportunities and structured learning programs to enhance professional skills.liChallenging yet fun work environment with a young and dynamic team that believes in meritocracy and equal opportunity.
Interview Preparation Tips
- Review machine learning concepts and be prepared to discuss real-world applications.
- Practice coding problems using Python, particularly focusing on ML algorithms.
- Be ready to explain your previous projects and how they relate to the role at Myntra Data Science team.
- Understand the importance of data cleaning, feature extraction, and model deployment in a production environment.
Career Growth in This Role
pThe internship offers deep insights into building models that serve millions of requests per second, providing unparalleled learning and career development opportunities. Graduates can expect to contribute significantly to various areas such as recommendation systems, computer vision, supply chain optimization, and generative AI. With Myntra's commitment to staying at the forefront of technology and fashion, there is a strong chance for advancement in roles ranging from data scientist to senior machine learning engineer.pMyntra's Data Science team takes pride in deploying solutions that not only leverage state-of-the-art models but also contribute to research literature. This exposure can lead to opportunities for publishing papers or presenting at conferences, further enhancing one's professional profile.
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Skills
Frequently Asked Questions
What are the eligibility criteria for this role?Candidates must have a degree in Computer Science, Mathematics, Statistics or related fields with at least one year of theoretical understanding of machine learning.
Is there any specific experience required?Experience developing machine learning models in Python or equivalent programming language is preferred but not mandatory.
What kind of projects can I expect to work on?You will work on a variety of impactful projects including recommendation systems, computer vision, and generative AI models for Myntra's e-commerce platform.
