Hiring for Data Engineer - Ecommerce

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Job description

Duties & Responsibilities

• Preparing hot and cold beverages and food products as per the defined SOP.
• Following the defined steps of guest service.
• Maintaining the cleaning & hygiene aspects of the store .
• Following the cleaning and hygiene guidelines set by the store .
• Managing product hygiene and expiry Managing store visual merchandising.
• Having basic knowledge about coffee beans and coffee machine.
• Having knowledge about the food safety rules and demonstrating them while working Handling the basic level product-related complaints as the per process.
• Maintaining the Daily/Weekly/Monthly inventory records.
• Supporting the Store Manager in stock reconciliations.
• Maintaining a safe and healthy work environment.

Candidate Qualifications & Skill Requirements:

• Candidate should ideally have 2- 3 years of experience in the similar profile
• Graduate in any stream. Hotel Management qualification/ course will be an added advantage.
• Experience in a retail setting will be an added advantage .
• Good written and verbal communication skills.
• Ability to work well under pressure.
• Flexible and works well with a team.
• Ability to multitask.
• Experience in luxury retail or hospitality.

Reporting Manager - Store Manager

COMPANY INTRODUCTION

NEST® [NESTECH]

NEST® works with a range of international clientele in the development of bespoke software solutions. NEST® specialises in data and direct engagement structures, digital marketing, data with blockchain security and much more.

NEST® founders have had decades in the visual arts, architecture, sculpture as well as inking the human canvas. More mundanely, from fifteen countries our formal training is in law, philosophy, international logistics and technology. There are currently NEST® branch offices in England, Singapore, USA and India. What happened yesterday isn’t important. We believe what you privately achieve tomorrow is.

JOB DESCRIPTION:

Job Title: Front End Developer

Location: Pune

You should be able to quickly understand and support initiatives that will contribute to the goals and success of operations. You would also be working with various departments to coordinate and develop digital CRM solutions including bespoke in-house software.

EXPERIENCE

-3+ years of experience in Web Development.

-2+ relevant experience in the development of Angular Enterprise Applications. -Hands-on experience of using Angular Material:

in consuming complex nested API.

on Angular 7/8/9/10/11/12.

of using CSS frameworks like SCSS.

in using state management (e.g. NGRX, RXJS).

in using caching of using component library framework integration (e.g. Angular Material ). in integrating with REST web services from the application. Knowing JSON is a must.

NEST® OFFERS

● Competitive Salary

● Flexible Hours

● Paid Vacations

● Fun & Creative Environment / Projects

● Quarterly Performance Reviews

● Generous Bonus Schemes

● Oversea Working Placements

● Dynamic International Clientele

● Multiple Learning Opportunities

● Control And Work On Full Product Life-Cycle

● Research and Implement Multiple New Technologies

Location : Gulbai tekra Ahmedabad

Salary: 15k to 25k

Only Female candidate

Experience 1 to 2 yrs

Only Ahmedabad based candidate

10 to 7 job time

Only Personal interview will be taken

Immediate joiner

6 days working

Duties and Responsibilities include but are not limited to:

1. Upload videos, manage negative reviews, and keep the account profile up to date.

2. Research keywords, hashtags, industry-related topics & social media trends.

3. Edit images for social media usage.

4. Track & organize campaign schedules, coordinate/schedule posts on all platforms, and execute a content strategy for designated team members.

5. Write clear captions, descriptions & other content for the posts.

6. Manage day-to-day interactions with followers & develop partnerships with social media influences and other accounts.

7. Generate ideas to create brand awareness, determine the brand voice & align all posts accordingly.

8. Develop a scheduling sequence to publish content on all platforms & propose promotional activities.

9. Gather & compile data about the brand’s users and viewers.

10. Assist the Ad Manager when running social media ad campaigns.

11. Moderate conversations in social media groups as per set etiquettes.

12. Conduct general administration.

13. Ad hoc tasks

Schedule: US work hours (40+ hours per week)

Location: This is a remote job

*Salary is based on experience and skills.

*Only qualified candidates will be invited to take the assessment & scheduled for the interview/s.

*We have other vacancies that might be of interest to your friends & colleagues, they can check us out athttp://www.wingassistant.com/"> www.wingassistant.com.

• Mandatory: Docker, AWS, Linux, Kubernete or ECS
• Prior experience provisioning and spinning up AWS Clusters / Kubernetes
• Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
• Experience supporting a managed cloud services infrastructure
• Ability to maintain, monitor and optimise production database servers
• Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
• Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
• Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
• In-depth knowledge on Linux Environment.
• Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
• Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
• Experience in handling large production deployments and infrastructure.
• DevOps based infrastructure and application deployments experience.
• Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
• Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
• He/she should be able to validate that the environment meets all security and compliance controls.
• Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
• Proven written and verbal communication skills.
• Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
• Previous NOC experience.
• Client Facing Experience with excellent Customer Communication and Documentation Skills