Career Counselor(Female)

📢 We’re Hiring: Email Marketing Executive (Remote)

At Kreateable, we are on the lookout for a proactive and driven Email Marketing Executive to join our team! You’ll play a key role in generating leads and demo bookings for our digital design services.

🌟 What You’ll Do:

✅ Generate leads and drive demo bookings through targeted email campaigns.

✅ Create and manage approx. 400 email IDs and send ~4,000 emails daily.

✅ Build and manage your own prospect data (we will define verticals).

✅ Work directly on leads and deliver consistent results.

✅ Handle targets and perform well under pressure.

💼 What We’re Looking For:

✔ Experience in lead generation via email marketing.

✔ Strong ability to generate and manage data independently.

✔ Good personality with excellent communication skills.

✔ Ability to work in a fast-paced, target-driven environment.

🕒 Role Details:

📍 Remote role (work from anywhere)

🕕 Working Hours: 6:00 PM IST – 3:00 AM IST (Canada Time)

💰 Salary: Performance-based (decided on leads generated)

📩 To Apply:

Send your resume to mukulatkreateable.net

Join us and be a part of an innovative team helping businesses meet their digital design needs!

Job Sector: IT, Software

Job Type: Permanent

Location: Chennai

Experience: 10 - 20 Years

Salary: 12 – 40 LPA

Education: Any Graduate

Notice Period: Immediate

Key Skills: Python, Spark, AWS, SQL, PySpark

Contact at triple eight two zero nine four two double seven

Job Description:

Requirements

• Minimum 12 years experience
• In depth understanding and knowledge on distributed computing with spark.
• Deep understanding of Spark Architecture and internals
• Proven experience in data ingestion, data integration and data analytics with spark, preferably PySpark.
• Expertise in ETL processes, data warehousing and data lakes.
• Hands on with python for Big data and analytics.
• Hands on in agile scrum model is an added advantage.
• Knowledge on CI/CD and orchestration tools is desirable.
• AWS S3, Redshift, Lambda knowledge is preferred

Your qualifications:

Self motivated and proactive mindset.

Remote work experience is considered an asset.

Based anywhere in the world, quiet home office with fast internet.

Prior experience in a customer-facing role (Support, Success, Account Management, or Sales).

Your responsibilities will include:

Answering incoming phone calls from customers to offer support

Answering support tickets to help customers and free trials (we use Zendesk)

On-boarding and setting up new accounts and winning them over from the get-go.

Monitoring accounts to ensure that our customers are thrilled, and looking out for (and addressing) warning signs of churn.

Advocating customers’ requests and needs across the entire company (we use Monday)

Educating about newly released features and functionality.

Contributing to our Help Center (help.limecall.com)

Continuous learning and love to implement best practices

Roles & Responsibilities:

• The candidate should have atleast 5-6 years of experience into Project Management
• Define project responsibilities with stakeholders..
• The candidate should have experience in Banking domain/mobility solutions
• The candidate should have coding experience of at least 2 years in any of the skills Java/DB/Android.
• Great educational background, preferably in the fields of computer science or engineering for technical project managers
• Solid technical background, with understanding or hands-on experience in software development and web technologie

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.

Position :      Recruiter - (IT / Telecom)

Location : Delhi/NCR

Job Description

1) Should have Strong analytical and logical abilities

2) Excellent verbal & written communication skills
3) Should have Experience & Knowledge into domestic IT/Telecom hiring industry.
4) Strong Experience in Client Handling/Team Handling.

5) Experience in Sourcing profiles through Job Portals, Networking, Headhunting & Social Networking Sites.
6) Should have Knowledge about Technical Skills & Recruitment Process. (Sourcing).

7) Should have strong Telecom Technology Skills.

8) Must be target driven and must be able to thrive in a time pressured environment.

9) Strong Experience in End to End Recruitment Life Cycle(Sourcing to On boarding).

10) Familiarity with Applicant Tracking Systems and resume databases

11) Screen incoming resumes and application forms

12) Following up on the interview process status

13) Reference and background checks
14) Must have basic knowledge of Salary Heads
15) Comfortable for travelling if required to visit rest of the offices