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Free meal

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Cafeteria

Office gym

Professional degree assistance

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Gifts on festivals

WFH setup

Mobile bill reimbursements

Joining bonus

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Mental health wellbeing

Life insurance

Course reimbursements

Rewards & recognition

Recreational activities

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Senior Assistant

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Supervisor

Data Analyst

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Executive

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Senior Software Engineer

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Team Manager

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Key Account Manager

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Intern

Logistic Assistant

The Cloud Platform Engineering(CPE) group is responsible for developing and managing platforms that allow Myntra's tech products to be deployed and run at scale. The CPE team builds and maintains centralized and high-scale platforms for sophisticated application security frameworks, log collection, monitoring systems, access management, secret management, database access, change management systems, build, release, and deployment. You will be part of the group. You will develop distributed solutions with service-oriented architecture to build high-performance platforms to service India's largest selection of millions of fashion customers. Furthermore, you will build Tier-1 services to handle millions of requests daily while maintaining response latencies in milliseconds and meeting strict SLA requirements (high operational standards). You will not merely go through the complete software development cycle but, more importantly, drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of fashion e-commerce. Responsibilities : - Design, develop, and implement plugins for GitHub Actions. - Design, develop, and implement internal Myntra platforms. - Write maintainable, scalable, and efficient code. - Follow Myntra's coding standards, code reviews, etc. - Follow scrum sprint cycles and commitment to deadlines. - Support - bug fixes and updates of deliverables for at least 3 months. Requirements : - 3+ years of experience in large-scale application development. - Experience in development on NodeJS, Golang, ReactJS (Good to have). - Extensive knowledge of Linux/Unix systems, CI/CD tools like Jenkins, and ArgoCD. - Solid Experience with containerisation and orchestration tools (e. g., Docker, Kubernetes). - Knowledge of packaging tools like Helm, operator, etc. - Designing of devops systems. - DevSecOps best practices and implementation.

Bangalore

Myntra - Site Reliability Engineer - CI/CD Tools (3-6 yrs)

About the Company : Myntra is Indias leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, weve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. Were bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us. Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities. Job Information : About Team : The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency. We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniquessuch as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modelingbut also contribute to the research community with multiple peer-reviewed publications. Roles and Responsibilities : - Design, Develop, and Deploy : Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains, including Recommender Systems, Search, Computer Vision, Supply Chain Management (SCM), Pricing, Forecasting, Trend and Virality Prediction, Generative AI, and more. - Technical Expertise : Demonstrate deep theoretical knowledge and practical expertise in one or more areas, such as Natural Language Processing (NLP), Computer Vision, Recommender Systems, Gen AI and Optimization. - Software Development : Develop robust, scalable, and maintainable software solutions for seamless model deployment. - CI/CD Pipelines : Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration. - Model Maintenance : Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training. - Collaboration : Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems. - Data Management : Partner with the Data Platforms team to gather, process, and analyze data crucial for model development. - Code Quality : Write clean, efficient, and maintainable code following best practices. - Performance Optimization : Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance. - Continuous Learning : Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization. Qualifications & Experience : - Industry Experience : 3-5+ years with a Bachelor's degree, or 2+ years with a Masters/Ph.D. in Computer Science, Mathematics, Statistics, or a related field. - Machine Learning Expertise : At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role. - Production Deployment : Proven experience deploying machine learning solutions into production environments. - Programming Skills : Strong proficiency in Python or equivalent programming languages for model development. - ML Frameworks : Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn). - CI/CD Tools : Experience with CI/CD tools and practices. - Communication : Excellent verbal and written communication skills. - Teamwork & Independence : Ability to work collaboratively in a team environment or independently as needed. - Workload Management : Strong organizational skills to manage and prioritize tasks, supporting your manager effectively. Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential. Nice to Have : - Research Contributions : Publications or presentations in recognized Machine Learning and Data Science journals/conferences. - Big Data Technologies : Experience with big data technologies like Spark or other distributed computing frameworks. - Cloud Services : Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems. - Generative AI Exposure : Familiarity with Generative AI models. - Database Management : Experience with SQL and/or NoSQL databases. - ML Orchestration : Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow). Required Skills : - Machine learning - Python - Tensorflow - Forecasting - Cicd Required Education : - B.Tech, M.Tech Job Type : - Employee status : Full Time

Myntra - Senior Data Scientist - Machine Learning/Artificial Intelligence (4-7 yrs)

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Myntra Careers, 2 Myntra Jobs, July 2025  | hirist.tech

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