11+ Telepresence Jobs in Chennai | Telepresence Job openings in Chennai

NO NIGHT SHIFTS FOR GIRLS

SALARY - 10K-15K

Hindi - Preferred

Job description

Roles and Responsibilities

• Conduct business conferences by mediating the call, identify and assess the customer needs to achieve satisfaction
• Provide accurate, valid and complete information when requested by using the right methods/tools on the software interface.
• Resolve conference related issues by clarifying the customer complaint, determining the cause of the problem, selecting and explaining the best solution to solve the problem and expediting correction or adjustment.
• Effectively manage large amounts of incoming calls and resolve help requests and build sustainable relationship through interactive communication
• Schedule conferences, maintain records and process emails adhering to communication procedures, guidelines and policies
• Go the extra mile to query resolution, request completion and process closure
• Productive contribution to team effort by accomplishing the results as needed

Desired Candidate Profile

• 0 - 1 years in customer care background
• Must be fluent in Hindi & English. Multilingual will be added advantage
• Telephone etiquette, ability to comprehend and effective listening skills
• Focus on quality control measures and processes
• Problem Solving Acumen and conflict resolution skills
• Multi-tasking ability with a keen sense of detail

JOB DESCRIPTION

Chaiwaale

Job Title: Franchise Sales Executive

Location: Anna Nagar, Chennai

Work Days: Monday to Saturday

Work Mode: Work-from-Office (WFO)

Language Requirement

Fluent in English and Tamil (Hindi will be a brownie point). Immediate

joiners only.

Key Responsibilities

1. Identify, source, and convert new franchise leads across targeted regions.

2. Manage the complete business development funnel — from lead

genera on and outreach to final deal closure.

3. Conduct detailed market research to identify emerging opportunities,

compete tor trends, and poten al franchise loca ons.

4. Collaborate with internal departments to ensure seamless onboarding

and long-term success of franchise partners.

5. Maintain updated CRM pipelines, track follow-ups, and prepare weekly performance and lead reports.

Key Requirements

1. Proven experience in Business Development, Lead Genera on, or

Franchise Sales.

2. Working knowledge of computers, social media platforms, and internet

mining tools such as Apollo, LinkedIn Sales Navigator, and similar

databases is desirable.

4. Excellent communication, presentation, and negotiation skills. Highly result-oriented, hardworking, and motivated by

performance driven targets.

5. Ability to work independently with minimal supervision.6. Looking for long-term career growth and stability within the organiza on.

7. Young, dynamic, and ambitious personality with a passion for sales and

networking.

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 

Job Summary:

We are seeking a detail-oriented and articulate Technical Writer to create high-quality documentation that simplifies complex technical information for a wide range of audiences. You will collaborate with developers, engineers, and product managers to produce user manuals, API documentation, online help guides, and training materials.

Key Responsibilities:

• Develop and maintain user manuals, installation guides, API documentation, and FAQs.
• Collaborate with subject matter experts (SMEs) to gather technical information.
• Translate complex concepts into clear, concise, and user-friendly content.
• Create diagrams, flowcharts, and visuals to support documentation.
• Review and edit content created by other team members for clarity and consistency.
• Maintain documentation repositories and version control using tools like Git or Confluence.
• Ensure documentation complies with company standards and style guides.

Required Skills & Qualifications:

• Proven experience in technical writing, preferably in software or IT domains.
• Excellent written and verbal communication skills.
• Ability to grasp complex technical concepts quickly.
• Familiarity with documentation tools such as MadCap Flare, RoboHelp, or Markdown editors.
• Basic understanding of software development life cycle (SDLC).
• Bachelor’s degree in English, Technical Communication, Computer Science, or a related field.

Preferred Qualifications:

• Experience with Agile methodologies.
• Knowledge of HTML, CSS, or scripting languages.
• Exposure to API documentation tools like Swagger or Postman.

Job Title: Lead I - Product Implementation (Configuration - Healthcare Domain)

Location: Chennai

Experience: 3 – 12 Years

Mode: Hybrid (3 days office, 2 days WFH)

Role Overview

As a Configuration Lead – Product Implementation (Healthcare Domain), you will lead end-to-end product implementation projects, ensuring on-time, quality delivery while mentoring the implementation team. You will act as the bridge between clients, product teams, and engineering to drive customer success and continuous improvement.

Key Responsibilities

Lead and execute healthcare product implementation plans ensuring timely, high-quality delivery.

Mentor and guide a team of Configuration Analysts and Implementation Engineers.

Identify and resolve risks, dependencies, and technical challenges.

Build and enhance reusable tools, templates, and implementation assets.

Estimate efforts, define timelines, and maintain SLA compliance.

Conduct client demos, manage escalations, and ensure satisfaction.

Collaborate across configuration, integration, conversion, and testing functions.

Maintain documentation, reports, and gold environments for all configurations.

Mandatory Skills

Healthcare Domain Expertise: Deep understanding of claims, clinical operations, and payor systems.

Product Implementation Leadership: Proven track record in enterprise product/configuration delivery.

Configuration Management: Experience configuring core admin systems for healthcare platforms.

Agile Delivery: Experience in sprint planning, execution, and backlog management.

Technical Knowledge:

DevOps, CI/CD, and deployment processes.

Familiarity with AWS, Azure, or GCP.

Containerization (Docker, Kubernetes).

Team Leadership: Strong mentoring and guidance experience.

Communication: Strong verbal and written client-facing communication skills.

Quality & Compliance: Adherence to best practices and automation tools.

Preferred Skills

Hands-on experience with HealthRules Payor (HRP) or similar platforms.

Knowledge of Benefit, Pricing, and Provider Configuration.

Experience in configuration promotion through multiple environments.

Exposure to integration and conversion workflows in healthcare systems.

Prior consulting or client-facing implementation background.

Behavioral Attributes

Strong analytical and problem-solving mindset.

High ownership and accountability.

Effective time management and cross-functional collaboration.

Structured yet creative approach to solution delivery.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Analyze and organize raw data 
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results 
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Should have experience in Python, Django Micro Service Senior developer with Financial Services/Investment Banking background.
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects
• Should have 5+ years of experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Should have experience programming languages such as Python
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master’s is a plus
• Data engineering certification (e.g. IBM Certified Data Engineer) is a plus

We are looking to hire a Full-time, Remote (India) Backend engineer with a flair for writing full stack code to help create a SAAS product from the ground up in a niche industry.
This will be the v2.0 of an existing legacy platform with paying customers. This position is within the first few hires in the founding team of the revamped company.
We are on a mission to build a truly world class product and deliver at high speeds with high quality.

Read on and apply for the job if you are a doer, likes no BS, think you're competent enough to get things done, wants some quiet time every day, wants to make a difference, values work life balance and enjoy life outside work.

Experience -

At least 3 to 4 years building scalable SAAS applications in the cloud. It would be great to showcase anything progressive. Education from premier institutions, git contributions, tech blogs, volunteering, pet projects, etc.

Responsibilities -
- Architect, write, deploy and own the (SAAS) product from a technical standpoint working closely with other devs on the team
- Create and deliver the product end-to-end all the way to the user
- Write highly performant code and continuously measure performance and make the application better based on benchmarks
- Debug production issues and keep the application quality high always
- Assist with hiring more people when the team grows
- Pick up any appropriate work as in any early-stage company

General Skills Needed -

- Should be able to build and deploy multi-tenant SAAS applications end to end
- Need to have a technology-agnostic mindset. Should be able to easily pick up any new technology based on the use case.
- Should be an expert software craftsman/craftswoman. Must own the code and be proud of what you build.
- Write well thought out, well-tested code with extensive unit tests and integration tests so that the addition of future features is easy.
- Must know cloud deployment concepts and be comfortable creating and maintaining cost-effective cloud deployment strategies. AWS experience highly preferred.
- Must be able to design and architect simple, market-tested yet highly scalable solutions
- Must be able to quickly iterate and produce working software at a high speed. Must not be shy to scrap and rebuild when there is a need
- Must be appreciative of documentation and write well-documented code and technical documentation alongside

Technical Skills Needed -
- Expert level knowledge in Python and Django. We are a Python/Django/Javascript/ReactJs/AWS shop.
- Must have good knowledge/experience in creating cost-efficient and scalable cloud deployments (AWS preferred)
- Must have good knowledge of industry-standard design patterns and tools
- Must have a good understanding of various frameworks on authentication and authorization, billing and metrics
- Some experience in data analytics and reporting - creating reports based on the data collected and deliver to the frontend
- Expertise with Frameworks

1. Django, or similar backend frameworks
2. PostgreSQL, MySQL, any NoSQL or other database technology

Perks -

- Opportunity to build a SAAS product from the ground up. Lots of challenges to tackle on
- Work remotely from anywhere within India
- Emphasis on work-life balance and professional development
- Flexible work hours and a lot of autonomy
- Work with a very informal team collaborating over slack. No meaningless meetings. Focus on getting things done and not hours put in
- Opportunity to grow the team with the company
- Market salary and a yearly bonus outside the salary based on company + individual performance
- Generous PTO plan

We are looking for a competent Executive Secretary to manage the Chairman’s office. You will be the one to organize and maintain his schedule and assist them by performing a variety of administrative tasks.

Executive secretaries must be quick professionals with great time-management and multitasking abilities. It is with their diligence and competence in their work that executives can focus on their managerial responsibilities without worrying for other tasks.

The goal is to contribute to the efficiency of the overall business by ensuring all assigned administrative duties are carried on timely and efficiently.

• Maintain executive’s agenda and assist in planning appointments, board meetings, conferences etc.
• Attend meetings and keep minutes
• Track the minutes and ensure that commitments made are kept up.
• Coordinate and ensure that all MIS  reaches the Chairman’s office in time.
• Receive and screen phone calls and redirect them when appropriate
• Handle and prioritize all outgoing or incoming correspondence (e-mail, letters, packages etc.)
• Make travel arrangements for executives
• Handle confidential documents ensuring they remain secure
• Prepare invoices or financial statements and provide assistance in bookkeeping
• Monitor office supplies and negotiate terms with suppliers to ensure the most cost-effective orders
• Maintain electronic and paper records ensuring information is organized and easily accessible
• Conduct research and prepare presentations or reports as assigned

• Proven experience as executive secretary or similar administrative role
• Proficient in MS Office and PC /Laptop handling
• In depth knowledge of office management including filing.
• Familiarity with basic research methods and reporting techniques
• Excellent organizational and time-management skills
• Outstanding communication and negotiation abilities
• Integrity and confidentiality
• Degree in business administration or relative field preferred