Telesales Executive

Key Responsibilities:

1. SEO Strategy Development:

○ Design and execute advanced SEO strategies aligned with business goals.

○ Conduct comprehensive keyword research and competitor analysis.

○ Optimize content to improve rankings and drive organic traffic.

2. Technical SEO:

○ Conduct audits to identify and resolve technical SEO issues, such as crawl errors, page load

speed, and mobile usability.

○ Optimize site architecture, schema markup, and internal linking structures.

○ Work with developers to implement technical SEO recommendations.

3. Content Optimization:

○ Collaborate with the content team to produce high-quality, SEO-friendly content.

○ Ensure all content meets search engine guidelines and is optimized for target keywords.

○ Monitor content performance and recommend updates as needed.

4. Performance Monitoring and Reporting:

○ Track and analyze website performance metrics using tools like Google Analytics, Google

Search Console, and SEMrush.

○ Generate detailed reports on SEO performance and present actionable insights.

○ Monitor algorithm changes and adjust strategies accordingly.

5. Link Building & Outreach:

○ Develop and implement effective link-building strategies.

○ Build relationships with industry influencers and relevant websites for collaboration.

6. Stay Updated:

○ Keep abreast of the latest SEO trends, tools, and best practices.

○ Conduct training sessions to update the team on SEO developments.

Qualifications:

● Bachelor’s degree in Marketing, IT, Communications, or related field (preferred).

● Proven experience of 1 year in SEO, with a strong portfolio of successful projects.

● Deep understanding of search engine algorithms, ranking factors, and SEO tools

● Proficiency in technical SEO and content marketing.

● Excellent analytical, problem-solving, and project management skills.

● Strong written and verbal communication skills.

● Ability to work collaboratively with cross-functional teams.

Job Description: Customer Support (Female)

Position: Customer Support Representative (Female)

Location: [Faridabad]

Salary: ₹8,000 - ₹12,000 per month (in-hand)

Working Hours: [9 AM – 6 PM, Monday – Saturday]

Job Overview:

We are looking for a dedicated and proactive Female Customer Support Representative to join our team at [Bikefixup], a leading bike service provider company. As a Customer Support Representative, you will be responsible for assisting customers, addressing inquiries, and ensuring an exceptional customer experience related to our services.

Key Responsibilities:

Customer Assistance: Handle customer inquiries via phone, email, chat, and in-person, providing accurate information about bike services, pricing, and maintenance

.

Issue Resolution: Resolve customer complaints or issues related to service bookings, repairs, or billing, ensuring timely and effective solutions.

Service Coordination: Schedule service appointments, track service progress, and follow up with customers to ensure satisfaction.

Product Knowledge: Maintain in-depth knowledge of our services, promotions, and policies to assist customers efficiently.

Feedback Collection: Gather customer feedback to identify areas for improvement in service quality and customer experience.

Billing and Payments: Assist customers with billing inquiries and guide them through payment processes as needed.

Customer Retention: Promote customer loyalty by ensuring a positive experience and addressing any concerns professionally.

Documentation: Maintain accurate records of customer interactions, service requests, and resolutions.

Requirements:

Female candidates preferred.

Excellent communication skills (both written and verbal).

Strong problem-solving abilities and a customer-centric attitude.  

Prior experience in customer support or in a service-oriented industry is a plus.

Basic knowledge of bike services (or willingness to learn).

Ability to work efficiently in a fast-paced environment.

Proficiency in computer skills (MS Office, CRM software, etc.).

Benefits:

Friendly and supportive work environment.

Opportunities for career growth and skill development.

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Job Description :

•     Hands on work experience on Appworks and Angular Or Entity modeling is desired.

•     Hands on work experience on Sun Java, JDBC, AJAX, XML, OOAD is mandatory.

•     Knowledge of the existing Appworks product portfolio, associated technologies and standards is desirable and would be an asset.

•     Additional knowledge :

-     Service Oriented Architecture

-     W3C standards

-     Object Orientation

-     Platforms (.Net, Java, J2EE)

-     Web 2.0 technologies

-     Various types of enterprise applications (e.g. ERP, EAI , BPM)

-     Databases, data modeling

-     Software development methodologies

Position:-Salesforce Developer -LWC

Responsibilities:

* Design and develop Salesforce Lightning Web Components (LWC) to create intuitive user interfaces and enhance user experience.

* Collaborate with business analysts and stakeholders to gather and understand requirements, translating them into technical specifications and efficient LWC solutions.

* Customize and extend Salesforce functionality using Apex, Visualforce, and LWC to meet specific business requirements.

* Integrate Salesforce with external systems and third-party applications as needed.

* Optimize LWC code for performance, ensuring smooth and responsive user interactions.

* Participate in code reviews and provide constructive feedback to maintain code quality and adherence to best practices.

Have an experience building backend server side applications in Node.js and Express.js

Have in-depth knowledge and experience of using ES6+ features and Object Oriented Principles

Have sound knowledge and are familiar with databases like MongoDb - (Preferred) and Mysql.

Have good exposure to cloud native technologies (AWS Lambda, S3, RDS, etc) 

Have working knowledge of version control (Git) and continuous deployment 

Have experience in optimising backend API’s and database queries for optimal performance.

You are good at problem solving and have analytical skills 

You are flexible in adapting new technologies and frameworks as per the projects needs