- Counsel potential Students over a call to inform them about a product and help them in making better career decisions.
- Answer questions about our products or the company.
- Sale as per requirement from the students.
- Direct prospects to the field sales team when needed.
- Maintain Sales Report and update in the CRM time to time.
- Take and process orders in an accurate manner.
- Go the extra mile to meet sales quota and facilitate future sales.
- Keep records of calls and sales and note useful information.
- 6 months - 2 years of work experience in sales/business development/voice process.
- Excellent interpersonal and communication skills.
- Strong negotiation skills with a proven ability to seek, create, negotiate, and close a deal.
- Solution-oriented with effective problem-solving skills.
- Customer-Centric Approach.
- Positive attitude and Willingness to learn and excel.

About Testbook
About
Testbook, the education technology company with the most rapid growth rate, is getting poised to revolutionize the sector. Testbook has raced to the front and is well positioned to dominate larger markets thanks to its large user base of over 150+ lakh students who have registered to use the platform, its 450+ crore questions completed on the web, and its exceptional Android app.
Testbook is the perfect place to cultivate new talent. You come, you put in the effort to learn, and you succeed. You study under the most renowned teachers, and eventually, you emerge as a leading authority in your field. Having said that, the company places a high priority on the flexibility to choose which projects you want to work on, how and when you want to work on them, and what kind of contributions you want to make. You have complete command of the assignment at hand.
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We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.
KEY RESPONSIBILITIES
End-to-End ML Development
• Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.
• Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.
• Validate model performance using appropriate statistical techniques and domain knowledge.
MLOps & Production Deployment
• Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.
• Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.
• Ensure model reliability, observability, and performance in live production environments.
Language Models & LLM Applications
• Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.
• Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.
• Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.
• Support exploratory work around LLM integration and prompt engineering for internal tooling.
Domain-Driven Analytics
• Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.
• Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.
• Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.
REQUIRED QUALIFICATIONS
Education
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.
Experience
• 2–4 years of hands-on experience in a data science or machine learning role.
• Demonstrable experience deploying ML models in production environments (not just prototyping).
Technical Skills
• Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).
• Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.
• Hands-on experience with BERT-family models and Hugging Face Transformers library.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.
• Solid understanding of SQL and working with large structured/unstructured datasets.
• Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).
GOOD TO HAVE
• Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).
• Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.
• Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.
• Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).
• Contributions to open-source ML projects or published research.
THIS ROLE IS NOT FOR YOU IF…
• You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.
• Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.
Job Title: Data Scientist
Location: Bangalore (Hybrid/On-site depending on project needs)
About the Role
We are seeking a highly skilled Data Scientist to join our team in Bangalore. In this role, you will take ownership of data science components across client projects, build production-ready ML and GenAI-powered applications, and mentor junior team members. You will collaborate with engineering teams to design and deploy impactful solutions that leverage cutting-edge machine learning and large language model technologies.
Key Responsibilities
ML & Data Science
- Develop, fine-tune, and evaluate ML models (classification, regression, clustering, recommendation systems).
- Conduct exploratory data analysis, preprocessing, and feature engineering.
- Ensure model reproducibility, scalability, and alignment with business objectives.
GenAI & LLM Applications
- Prototype and design solutions leveraging LLMs (OpenAI, Claude, Mistral, Llama).
- Build RAG (Retrieval-Augmented Generation) pipelines, prompt templates, and evaluation frameworks.
- Integrate LLMs with APIs and vector databases (Pinecone, FAISS, Weaviate).
Product & Engineering Collaboration
- Partner with engineering teams to productionize ML/GenAI models.
- Contribute to API development, data pipelines, technical documentation, and client presentations.
Team & Growth
- Mentor junior data scientists and review technical contributions.
- Stay up to date with the latest ML & GenAI research and tools; share insights across the team.
Required Skills & Qualifications
- 4.5–9 years of applied data science experience.
- Strong proficiency in Python and ML libraries (scikit-learn, XGBoost, LightGBM).
- Hands-on experience with LLM APIs (OpenAI, Cohere, Claude) and frameworks (LangChain, LlamaIndex).
- Strong SQL, data wrangling, and analysis skills (pandas, NumPy).
- Experience working with APIs, Git, and cloud platforms (AWS/GCP).
Good-to-Have
- Deployment experience with FastAPI, Docker, or serverless frameworks.
- Familiarity with MLOps tools (MLflow, DVC).
- Experience working with embeddings, vector databases, and similarity search.
Bachelor’s degree (minimum) in Computer Science or Engineering.
5-7 years of experience working as a senior–level Software Engineer
Excellent programming and debugging skills in C/C++and Python
Experience developing on Windows and Linux systems
Experience in automation of manual tasks
Although not required, the following are a plus:
Experience working with Build framework (Makefile, CMake, Scons), Batch/Shell scripting
Experience with Jenkins and other CI/CD tools
Knowledge of RESTful web services and docker
What kind of work will you get?
We are looking for a Python developer.
Examples of technical tasks:
Working on our backend SDK to implement APIs that will be consumed by the frontend widgets
Designing APIs for different auth recipes
Architecting auth flows
You will also be given non technical tasks like product brain storming, competitor analysis and writing documentation.
Note: Compensation is as per the applicant's geography
Requirements
Well versed in Python with 2+ years of professional experience
Familiar with and comfortable working with Web frameworks like FastAPI, Django and Flask
Familiar with HTTP networking in Python
Strong understanding of async and sync modes in Python
Bonus:
Contributed to open source, or have your own open source repo with a community and many github stars
Built an in-house authentication or authorization solution or worked with solutions such as Keycloak, Auth0, Ory, Okta etc
1. Good communications skills
2. creative thinking
3. basic Canva designing
4. social media fluency
5. Basic content writing
6. curiosity
7. commitment to the role
The idea is simple, if you can commit to an internship that uses your skills and teaches you more, while you have fun... apply, and let us take from there!

Founded in 2012, the leader in high-assurance digital identity verification technology. Named to Forbes’ 2019 AI 50 list as one of America’s most promising AI companies, and a recent winner of API World’s Best Data API, They applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, address, phone, IP, social media and the broader Internet to verify identities in real-time. Customers include four of the top five U.S. banks, seven of the top 10 U.S. card issuers, as well as the majority of leading digital banks, lenders and insurers across the U.S. We are funded $200M by some of the world's best investors and entrepreneurs including Scale Venture Partners, Commerce Ventures, Work-Bench, Santander InnoVentures and Two Sigma Ventures.
We are currently looking for a Senior QA Engineer to join our fast-growing QA team. With our Product Engineering team rapidly iterating and deploying new code, our Test Engineers drive the crucial effort of designing automated test suites that are reliable and maintainable. This team is tasked with ensuring the automated testing of existing code and developing thorough test approaches for new features and products.
This role reports directly to our Director of QA, and will be based in Chennai, India. If you are someone who is motivated by solving problems and improving efficiencies
What You’ll Bring:
- 5+ years of experience with testing, test automation and development
- Strong experience in designing and reviewing test plans and test cases.
- Solid experience in both manual and automated testing for REST web service APIs and/or web applications.
- Working experience in automation frameworks, like testNG, Selenium or Cypress.
- Strong coding skills in programming languages like Java, Scala or Javascript
- Experience working in an agile development environment.
- Capable of comprehending and contributing to high level requirements and designs.
- Good understanding of Linux / Unix platform.
- Nice to have: Prior experience with Amazon Web Service (AWS).
What You’ll Be Doing:
- Work closely with the rest of the Engineering team to deliver high quality products in an agile development environment.
- Participate in product design discussions and sprint planning meetings.
- Participate in full cycle SDLC: initial design, test implementation, identifying bugs, verifying bug fixes and production release.
- Design and write comprehensive test plans and test cases for releases.
- Perform manual and automated testing for REST web service APIs / web applications.
- Build and enhance automated test suites and test harnesses.
- Improve and maintain high coverage of regression automated tests.
- Improve and innovate the tooling to run tests reliably and efficiently.
- Test and verify requirements of newly implemented code by Engineering for Data Scientists.
- Perform statistical analysis on project data for Data Science.
Perks & Benefits:
- Competitive base salary
- Equity - every employee is a stakeholder in our upside
- A tech-first company culture driven by entrepreneurial thinking and talent
- A group of highly intelligent peers that are all working in unison towards the same mission
- Insurance for employees and their dependents
- Parental leave and fertility support
- Flexible PTO
- Stipend to supply your home office
- Develop optimization strategies that increase the companys search engine results rankings.
- Research SEO keywords to use throughout the companys website and marketing materials.
- Set measurable goals that demonstrate improvement in marketing efforts.
- Monitor daily performance metrics to understand SEO strategy performance.
- Efficiently communicate with other marketing professionals to align goals.
- Collaborate with others within the marketing department to manage SEO strategy.
- Write compelling and high-quality website content, including blog posts and page descriptions.
- Update content and website links for maximum optimization and search engine rankings.
We are looking for passionate NodeJS Developer responsible for the development of cloud-native Microservices driven systems. Skills in Angular, NodeJs and PostgreSQL. Knowledge of Azure will be an added advantage. Should have knowledge of Source Control.
The end-to-end, design to solution approach is what makes you a perfect fit for the role. Constant upgradation of systems based on user feedback, internal research, performance improvements and bug fixes will be your primary focus. Occasionally you will interact with stakeholders to take the system to the next level.
Your main duties will include creating micro services and components and coupling them together into a functional app. You will work in a self-sufficient team with widely experienced in developing & managing BFSI systems.
Responsibilities
- Develop solutions on NodeJS and Angular
- Debug & troubleshoot
- Maintain documentation
- Ensure quality of deliverables
Skill Sets
Must Have
- Strong development knowledge on JS - NodeJS, Angular
- PostgreSQL
- Postman
- JSON
Good to Have
- Knowledge of Agile
- Experience on Azure
- Type ORM
- API testing tools - chai & mocha
Eligibility
Qualification: BE / B. Tech. / BCA / MCA
Experience
Total software development experience of 3- 4 years with minimum 1 year on NodeJS
Skills
- PostgreSQL, Postman, JSON, NodeJS (Node.js) and Angular (2+)
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Prior experience with popular React.js workflows (such as Flux or Redux)
- Familiarity with more current specifications of EcmaScript
- Prior experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Familiarity with HTML / CSS
- GIT experience is a plus
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools
• On-boarding of new clients and servicing of existing clients for increased business. • Responsibility for the entire process of lead management, sales and business development.
• Data management to ensure 100% coverage in assigned territory and tracking other key parameter.
• Ensuring timely collection of all revenue from clients
• Ensuring end to end client relationship management and servicing
• Providing the market intelligence, data analytics and insights for the marketing team to launch the right promotional and customer communication initiatives.
• Responsibility for achieving sales and revenue targets in the designated areas.
• Mapping of new projects and new Broker in designated territories, acquisition of new projects and new brokers to ensure coverage across designated territory.








