Content Writer

We are looking for a data-driven and proactive CRM & Performance Marketing Associate to strengthen customer engagement, retention, and full-funnel marketing for our premium lifestyle brands.

This role integrates CRM, email/WhatsApp marketing, automation, and performance marketing (Meta, Google, YouTube) to drive acquisition and loyalty.

You will report to the Marketing Manager and collaborate closely with the Operations and E-commerce teams.

Key Responsibilities:

1. CRM & Customer Retention

• Manage and segment customer data across Shopify, marketplaces (Amazon, Myntra, Tata CLiQ Luxury), and CRM platforms.
• Execute email and WhatsApp campaigns — automation, A/B testing, personalization, and performance tracking.
• Develop and manage loyalty, referral, and win-back programs to improve customer lifetime value (LTV).
• Integrate and optimize AI Chatbots for personalized engagement and lead nurturing.

2. Performance Marketing (Meta, Google, YouTube)

• Plan, execute, and optimize campaigns across Meta (Facebook/Instagram), Google Ads, and YouTube.
• Collaborate with internal and external teams for audience segmentation, creative testing, UTM setup, and reporting.
• Monitor and analyze KPIs including ROAS, CTR, CAC, and conversion rate, making data-backed optimization recommendations.
• Test audience clusters for premium segmentation.
• Align ad campaigns with CRM strategies to ensure consistent communication across channels.

3. Analytics & Reporting

• Create integrated dashboards covering CRM and paid media performance.
• Track key engagement metrics such as open rate, CTR, repeat purchase rate, and campaign ROI.
• Provide insights to enhance customer journey mapping, funnel efficiency, and conversion pathways.
• Present monthly performance summaries and improvement recommendations.

4. Cross-Functional Collaboration

• Work with marketing, operations, and tech teams to synchronize CRM, automation, and digital marketing efforts.
• Coordinate with agencies or vendors for campaign execution, data sync, and CRM tool integration.
• Ensure brand consistency and premium positioning across all digital touchpoints.

Qualifications

• Bachelor’s degree in Marketing, Business, or related field.
• 3–5 years of experience in CRM and/or Performance Marketing for premium or lifestyle brands.
• Proficiency in CRM and automation tools (e.g., HubSpot, Brevo, Mailchimp, Zoho, Klaviyo).
• Working knowledge of Meta Ads Manager, Google Ads, and YouTube Campaign Manager.
• Strong analytical mindset; ability to interpret campaign data and make optimization decisions.
• Experience with Shopify, marketplaces (Amazon, Myntra, Tata CLiQ Luxury), and email workflows and automations.
• Excellent communication and coordination skills, with a premium brand sensibility.

mail updated resume with salary details-

email: etalenthire[at]gmail[dot]com

satish: 88O 27 49 743

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Role: Accounts Executive

Location: Telibandha, Raipur 

_*Job Responsibilities:*_

-Booking of Sales and Purchase Order

-Banking duties, collection of OS

-Making of MIS Report

-Proactively involved in admin related tasks

-Vendor/Customer Handling

_*Required Experience:*_

-2+ years of experience in Accounting (Support)

-Candidates from Transportation/Logistics/Trading are preferred

Detailed Job Description:  

 Mandatory:

• 6-8 years of total IT experience delivering enterprise-scale applications or product implementations
• 1-3 years of experience working as a technical lead.
• Working Experience in ISO20022, SWIFT, Remittance ( Mandatory)
• Language & Frameworks: Java, Spring Boot, Spring, Any ORM ( Mandatory)

Preferred:

• Working experience in TCS Bancs or Integration with TCS Bancs
• Database: SQL Server
• Working experience in managing projects in Java Stack.
• Good Knowledge of Microsoft stack, Static Code analyzers, Overall SDLC Lifecycle, Design & Architecture

Type – Permanent

Candidate should be ok for On shore travel (Singapore Travel) coming in next 3 months (for at least 1 month as when required)

• 8+ years of hands-on experience in enterprise software development using Java, and J2EE Framework. 
• Experience with http://react.js/">React.js, AngularJS, strong knowledge of JavaScript, CSS, HTML5
• Passion for building enterprise web applications leveraging modern architecture principles, strong prior experience as a full stack developer. 
• Expertise with CSS and building responsive pages, with a keen eye for UI design and usability
• Experience with web-accessibility/WCAG standards
• Experience working collaboratively with a globally distributed team.
• Experience with agile methodologies and good exposure to DevOps/CICD models.
• Passion for keeping up with new trends and developments in the programming community and is eager to find ways to incorporate these new ideas into our codebase.

Experience: 2-5 Years

Must-Have: .Net Core + Angular 9+,Good Communication

Key Responsibilities and Accountabilities

• Experience in handling business requirements independently from technical and functional perspective.
• Responsible & accountable for execution end-2-end projects / part of Project or change requests and defects.
• Resolve technical issue faced for module handled and by the developers.
• Execution of project according to project plan, resolving day-to-day challenges of with the IT development life cycle.
• Always confirm to documentation, coding, and quality standards as defined.
• Prepare for and support user acceptance testing.
• Prepare all necessary documentation and processes to enable support of the systems.
• Effective Communication with internal and external customers, supervisors and management.

• Systems: REST & Graphql API’s, WSDL, XML JASON. Integration protocol, data exchanges between systems. Magento, Logistics, ERP integration experience
• Role: Will be responsible for developing and integrating API framework. Build service layer.
• Education : B.Tech – CSE, premium institute
• Experience : 3-6 Years, High transactional website, multiple system integration, AWS, Middleware and MySQL, MongoDB, Restful API. Team player, Passion for Coding. Magento eCommerce system design and database is desirable

Role Features:

- With over 50 people across Technology, Product, Sales, Operations and other functions, we are ramping up our team to meet our goal of being a go-to destination fintech platform that delivers world-class products for merchants and customers.

- We are looking to add people to our team who are passionate about technology, products, consumer internet, payments & fintech.

- Credit Fair values people who bring intellectual energy to our workplace are able to contribute without constant supervision, are collaborative by nature and able to flourish under pressure. In return, we promise to provide you an environment that promotes meritocracy, values feedback and ideas, learns from its failures, and enjoys each other's company and contributions.

Skills you are expected to have :

- Technical Skills: PHP, Laravel, MySql, Jquery, Javascript, Python, React Native, PWA, Node.js
- Candidate should have experience in developing applications using PHP programming skills.
- Experience in python would be a plus
- Strong in DB knowledge
- Should be good with OOPS Concept
- Should be good in system design, architecture and development using object-oriented programming
- Should be good in writing secure and optimized code
- Experience in Laravel framework. If not then other PHP based frameworks like Codeigniter, Zend, CakePHP, symphony, etc.
- Good understanding/experience on software development methodology such as Agile, TDD, etc.
- Good understanding of source control tools and its use (SVN, Git, etc...)
- Experience in the development of Rest APIs and API testing tools such as postman etc.
- Experience in micro service-based development would be a plus
- Experience in queuing systems such as rabbitMQ, Active MQ etc.
- Experience in AWS cloud solution
- Experience in deployments and devops
- Excellent written and verbal communication skills
- Proactive, self-learner, thorough, organized and energetic
- Able to work across teams as well as independently
- Perform code review of peers
- Good analytical and communication skills
- Good experience in the Fintech domain (Payments/ Banking/ Wallets/ Insurance/ Financial Markets)
Primary Skills: PHP, Laravel, MySQL, Jquery, Javascript
Secondary Skills: Python, Rabbit MQ, AWS, CI/CD, React JS, PWA, Node.js, HTML, Jenkin