JOB POSITION: Customer Support Executive –(Bangalore)
Location: Bangalore (On-site)
Shift: Rotational Shifts
Languages Required: English & Hindi
Preferred Background: Experience in Health Insurance or Healthcare Support
Role Overview
We’re looking for a dynamic and empathetic Customer Support Executive to join our Bangalore-based support team. You will be the first point of contact for customers, ensuring prompt resolution of queries related to healthcare, insurance claims, appointments, and more.
Key Responsibilities:
* Handle inbound and outbound customer interactions via calls, emails, and chats
* Resolve queries related to health insurance coverage, claims, and wellness services
* Maintain accurate records of customer interactions and updates in CR
* Coordinate with internal departments to ensure seamless support
•Deliver an excellent customer experience and maintain high satisfaction levels
* Manage escalations professionally and ensure timely follow-ups
Requirements:
* Minimum 2 to 4 years of experience in customer support (healthcare/insurance background preferred)
* Strong communication skills in English and Hindi
* Ability to handle rotational shifts
* Excellent problem-solving and interpersonal skills
* Familiarity with CRM tools and ticketing systems is a plus
Perks & Benefits:
Competitive salary Upto 4.5 LPA + Incentives
Health insurance and wellness benefits
Fast-paced, mission-driven work environment
Opportunities for growth in a high-impact health-tech company
Shubham Vishwakarma
Full Stack Developer - Averlon
About Hirebloc Ventures Pvt Ltd
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1. Candidate should have a consultative approach not just pre sales call approach.
2. Must be from B2B SAAS, MarTech or SalesTech but product based company only
3. Should be able to prepare pitch decks for the clients
4. 3 to 5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role
5. Solid technical foundation with the ability to explain complex concepts clearly
6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively
7. Expereince between 3 to 6 years will only be considered. More than 6 years candidates are not applicable
Candidate must have prior experience in B2B SaaS or Cybersecurity.
Candidate must have a minimum of 3+ years of experience selling to the US market.
Candidate must have a proven track record of closing mid-market and enterprise-level deals in a SaaS environment.
Candidate must have experience managing and achieving $300K–$500K annual revenue targets.
Candidate must have strong exposure to the full sales cycle, with emphasis on outbound acquisition and pipeline ownership.
Candidate must be a high-agency, self-driven operator with consistent quota attainment.
Candidate should not have any employment gap longer than 3 months
PythonJob Description
Job Title: Data Engineer
Location: Hyderabad, India
Job Type: Full Time
Experience: 5 – 8 Years
Working Model: On-Site (No remote or work-from-home options available)
Work Schedule: Mountain Time Zone (3:00 PM to 11:00 PM IST)
Role Overview
The Data Engineer will be responsible for designing and implementing scalable backend systems, leveraging Python and PySpark to build high-performance solutions. The role requires a proactive and detail-orientated individual who can solve complex data engineering challenges while collaborating with cross-functional teams to deliver quality results.
Key Responsibilities
- Develop and maintain backend systems using Python and PySpark.
- Optimise and enhance system performance for large-scale data processing.
- Collaborate with cross-functional teams to define requirements and deliver solutions.
- Debug, troubleshoot, and resolve system issues and bottlenecks.
- Follow coding best practices to ensure code quality and maintainability.
- Utilise tools like Palantir Foundry for data management workflows (good to have).
Qualifications
- Strong proficiency in Python backend development.
- Hands-on experience with PySpark for data engineering.
- Excellent problem-solving skills and attention to detail.
- Good communication skills for effective team collaboration.
- Experience with Palantir Foundry or similar platforms is a plus.
Preferred Skills
- Experience with large-scale data processing and pipeline development.
- Familiarity with agile methodologies and development tools.
- Ability to optimise and streamline backend processes effectively.
Responsibilities:
- Design and implement overall recruiting strategy
- Develop and update job descriptions and job specifications
- Source and recruit candidates by using appropriate Job Portal, Databases, social media
- Detailed Screening of candidates resumes and job
- Conduct interviews using various reliable recruiting and selection tools/methods to filter candidates within schedule.
- Hands on experience with various selection processes (Telephonic interviewing, reference check )
- Foster long-term relationships with candidates and
- Review and understand technical job
- Advertising jobs on careers pages, job boards, and social media
- Responsible for end-to-end recruitment (interview, offer, negotiation and closed candidates for assigned requisitions)
- HR Documentation.
Key Competencies
- Ability to build strong relationships
- Self-confidence and self-starter
- Good knowledge and working experience of Microsoft Office
- Familiar with sourcing techniques
- Good written and verbal communication skills
Experience: 1 ~ 3 Years
Qualification:
- Any degree (UG /PG)
- Diploma / PG Diploma in Human resource Management
.NET- Experienced in writing queries and stored procedures in SQL.
- Hands-on in developing and supporting batch-based systems, with experience in data profiling and debugging.
- Experience in performance tuning techniques and tools
Job Responsibilities
- Working with the development team to create physical database schemas.
- Optimising database design for optimal performance.
- Advising on best practices for developers interacting with the database.
- Developing and testing SQL and stored procedures.
Job Description
Dyte provides developer friendly live video SDKs that allows you to easily add 1:1 calls, group calls and webinars right within your platform. Our low code approach and user friendly documentation means you are ready to go live with less lines of code. Dyte also offers plugins that allow developers to add real time applications like whiteboard, youtube player and AI applications such as background changer and live audio transcription with a couple of lines of code.
About the role:
Would you like to write technical documentation that helps people understand the technology that empowers Dyte’s SDKs? We are currently looking to expand our docs team with tech writers who can learn API skills and synthesise that understanding into resources that help our incredible community succeed with Dyte.
We are growing rapidly and need a tech writer who can help create a foundation of reference and learning material that will scale up with our broad user base. Dyte is used by Developers to add live video in their products. If supporting these developers sounds like the kind of challenge you’d like to tackle, apply to join us!
What You'll Do :
- Structure and write technical blogs relevant to Dyte and our customers.
- Work closely with our customers to create case studies.
- Work with the engineering team and write the content for our product release notes and monthly newsletter.
- Work with design team and create and review the content on product features for our website.
- Create product guides and manuals as necessary.
- Own the docs for your dedicated feature set—you’ll be responsible for documenting a specific area of Dyte's product and will drive all docs efforts around it.
- Plan documentation in conjunction with product release cycles—you’ll work with engineers and product managers to learn about a feature from specifications, user research, and most importantly through your own hands experimentation with the product.
- Carry out editorial reviews on your docs teammates’ drafts—you’ll be providing constructive feedback that helps your colleagues to grow, as well as receiving it.
- Deliver high-quality, accurate documentation that acts as an effective learning resource, aligns with content strategy guidelines, and represents Dyte’s product to community and customers.
- Liaise with stakeholders across the company to establish and address docs needs.
Who you are:
- 3+ years of experience working with B2B Saas, Dev tools, API first companies or open source projects as a technical writer.
- Problem solver—you take a broad view of the role your docs work plays within the organisation and are comfortable with shifting priorities.
- User empathy—maybe you’ve been involved in tech support, in a community or customer facing role, you’ve helped people learn tech skills, or you’ve sought user feedback on docs in the past.
- Strong communicator—you’ve written technical material before, whether official documentation or just your own tutorials on tech skills you wanted to share, and your communication skills carry over into the way you engage with teammates.
- Self-directed learner—you can pick up tech skills with minimum support and have a curiosity about learning development workflows and practices.
- Experience using and documenting SaaS products.
- Nice skills to have: Experience with the Docs as Code/Docs like Code approach to documentation, writing Markdown- based content, working in an Agile environment, and using source control systems, especially Git.
Our Perks:
- Competitive Salary
- ESOPs
- Medical Insurances
- Friendly leaves policy
- 100% Remote Option
Kotlin
Android Development- Maintaining existing Android applications and developing new features for the same.
- Ensuring the best possible performance, quality, and responsiveness of the application.
- Developing cross-platform applications on hybrid frameworks like Ionic/Flutter.
- Testing and maintenance of applications across device models and platforms.
Requirements:
- Strong understanding of Android SDK, Android architecture, and different Android versions.
- Experience with building hybrid (or native iOS) applications.
- Working on applications featuring multiple services and multi-threading.
- Strong knowledge of Runtime Environments, Location services, Android support libraries.
- Well acquainted with Android Studio and various profilers.
- Strong REST fundamentals, Java, XML, JSON, Web Services, SQLite databases.
- Object-oriented Java programming and multi-threading concepts.
- Proficient in using data structures.
- Ability to write optimized algorithms.
- Strong debugging skills.
- Customizing Android OS for the company's embedded gateway devices.
- Hands-on experience with Android JNI and SE Linux is highly valued.
Minimum 2 years of work experience on Snowflake and Azure storage.
Minimum 3 years of development experience in ETL Tool Experience.
Strong SQL database skills in other databases like Oracle, SQL Server, DB2 and Teradata
Good to have Hadoop and Spark experience.
Good conceptual knowledge on Data-Warehouse and various methodologies.
Working knowledge in any of the scripting like UNIX / Shell
Good Presentation and communication skills.
Should be flexible with the overlapping working hours.
Should be able to work independently and be proactive.
Good understanding of Agile development cycle.
Python
Data Science
R ProgrammingAbout us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
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Full Stack Developer - Averlon