telecaller

Job Description: B2C Sales Executive – HR Training Programs Position: B2C Sales Executive

Type: Full-time (with incentives)

Location: Remote

About the Role

We are looking for an energetic B2C Sales Executive to drive enrollments for SkillDeck’s HR training programs (live courses, pre-recorded modules, and certification programs). The candidate will be responsible for handling inbound leads, following up, counseling prospects, and closing sales.

Key Responsibilities

Handle incoming leads from ads, website, WhatsApp, LinkedIn, and referrals.

Proactively call & counsel students/working professionals about HR training courses.

Understand customer needs (career growth, HR certifications, placements) and suggest the right program.

Convert leads into paid enrollments through consultative selling. Achieve daily/weekly/monthly sales targets.

Maintain proper CRM records of calls, follow-ups, and conversions. Share customer feedback with the marketing team to improve campaigns.

Requirements 1–3 years of B2C sales / inside sales / tele-counseling experience.

Experience in education, training, edtech, or HR services preferred. Excellent communication & persuasion skills.

Strong follow-up ability and hunger to meet sales numbers.

Comfortable working with daily calling targets.

Compensation Fixed Salary + Attractive Sales Incentives (per enrollment).

Responsibilities

• Initiate outbound calls to potential clients to promote properties and generate leads.
• Respond to inbound calls and answer queries related to various real estate projects.
• Schedule and coordinate site visits with potential buyers.
• Maintain and update customer records in the CRM system.
• Follow up with clients to provide additional information and gather feedback.
• Collaborate with the sales team to achieve sales targets and objectives.
• Stay updated on real estate market trends and project details.

Qualifications

• High school diploma or equivalent; a bachelor's degree in any field is preferred.
• Proven experience in telecalling or telemarketing, preferably in the real estate sector.

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

Requirements 

•  3-5 years of experience working on Python Environment

•  Knowledge on software development methodologies and being able to work on projects individually or as part of a team. Should be able to work with AGILE methodology
•  Knowledge of relational databases, version control tools and other development tools
•  Understanding of the threading limitations of Python, and multi-process architecture
•  Understanding of accessibility and security compliance
•  Strong interest in learning new skills/technologies and curiosity to explore various Technologies.

•  Should have strong analytical skills
•  Good communication
•  Able to integrate multiple data sources and databases into one system
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

Must Required Skills:

• Python 2/3
•  should have worked on one or more major Python web frameworks like Django.
• Worked with APIs development, integration of third-party APIs
• Working knowledge of MySQL databases integration with Python Environment.

DevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!

Hello superstar,

I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......

I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.

I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;

• We choose the most appropriate technology
• We choose competent developers in those technologies
• The architecture and data modeling are clearly defined in a ‘blueprint’ plan
• A DevOps environment and processes are set up and the developers understand what is required
• Proper tests are carried out to ensure everything works as intended
• There are processes for testers to follow and competent testers are selected to follow them
• Accessibility, localization, and internationalization are planned ahead of time
• Security, scalability, and other future probabilities that I may not even be aware of are considered and planned ahead of time
• Documentation and code reviews, refactoring and other quality assurance processes are undertaken
• Working software is produced and systems that enable new developers or teams of people to easily take over and/or contribute new modules or updates in a controlled and organized fashion
• Cost estimates or budgets/projections or use of SaaS, hosting and other 3rd party services and applications

I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.

Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response.  I look forward to hearing from you.

Warm wishes DevOps Evangelist,