Technical Lead

We are looking for AI Interns from IIT and Top Colleges of India who have worked on AI Based projects during their tenure or have any experience in AI.

Job Summary:

We are seeking a passionate and energetic Fashion Assistant to support our brand and design teams across various functions including styling, trend research, product development, and campaign coordination. This role is ideal for someone who understands contemporary fashion, follows global trends, and is eager to grow within a fast-paced retail and lifestyle environment.

Key Responsibilities:

• Assist in product styling and coordination for lookbooks, catalog shoots, and e-commerce platforms.
• Coordinate with buying, merchandising, and marketing teams for sample tracking, approvals, and visual consistency.
• Track competitor trends, pricing strategies, and category-wise product offerings.
• Prepare presentation decks, swatch files, and styling concepts for seasonal launches.

Platform they will work on: Building multiple tech offerings for the customers.

Job Description: Should be someone who has done iOS mobile development with React Native. Should have a startup mindset and be able to build for scale. The ideal candidate would be someone with Founding Engg etc. experience.

YoE: 4-6 years

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Please find the job details below

Experience: 7.5-10 years

REQUIREMENTS:

Must have Skills : Cloud architecture (Capable), Terraform, Kubernetes, Azure, Cloud Migration Expert,

Job Description :

• Responsible for Automating and orchestrating large scale application and database migration from on-prem to Cloud
• Expertise designing and developing enterprise grade architecture on Cloud
• Expertise in Cloud Security and create guidelines for its implementation
• Experience of managing enterprise grade cloud native Kubernetes cluster
• Expertise of the Infrastructure as a Code (IaC) using tools like Terraform, AWS CDK or other cloud native Iac services.
• Experience in monitoring tools like Prometheus & Grafana, Nagios/ CloudWatch/Data Dog/Zabbix and logging tools like Splunk/Logstash
• Rich experience in designing end to end CI/CD pipelines framework
• Must have Skills: AWS/Azure, Kubernetes, Terraform/AWS CDK, CICD

Responsibilities:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

• Experience in Frameworks: Laravel/YII 2.0/CakePHP 3.0/Codeignitor, CMS: Wordpress/PrestaShop/Opencart
• Must have good analytical and problem solving skills.
• Good Knowledge of OOPS, PHP, MVC frameworks, JavaScript frameworks - AngularJS/Node.js, GIT, MySql, CSS, AJAX, HTML5.
• Works as a Project Manager and reporting directly to CTO.
• Write error free code and follow coding standards. Able to perform Code Review job.
• Work closely with QA person to assist in testing process.
• Perform R&D tasks if assigned and communicate with Designer and UI team.
• Build reusable code and libraries for future use.
• Taking leadership responsibilities and handle team well.
• Manage daily/weekly scrums.
• Strong Communication Skills.