
- Build a short-term & long-term Content strategy for company
- Conceptualize content initiatives & design experiments to create unique value proposition for existing and potential members; lead the charter to create programs & new formats.
- Develop content governance guidelines for tone, style, and voice of all content, and ensure they are followed, Oversee writing style and tone for all content
- Manage content projects end-to-end (for app + YouTube) through collaboration with teams across format, creative, marketing, growth, merchandising, etc.
- Analyze data in decision making for content design and market rollout, Track and calculate content ROI
- Work closely with the Marketing & Growth teams to see how content led initiatives can be planned + how we can help take content to our existing potential customers
- Support new initiatives with content and effectively communicate, collaborate with production team to enhance content output and brainstorm on new ideas
Desired Skills:
- 8+ years of experience in content production and strategy
- Should be hands on & should be able to manage teams at the same time
- Should be willing to hustle across various tasks & new initiatives and simultaneously should be able to build SOPs, structure around it all to prepare for scale
- Strong creative/design skills with high attention to detail
- Project management experience is a plus 4
- Knowledge of Lending/ Insurance, relevant industry is a good to have large scale on Videos contents and understanding of what works on SEO is a must.

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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.
What will I be doing? 👩💻👨💻
- Leading parts of the product from inception to launch, and owning large parts of the product’s execution.
- Working with our product management and frontend team to build products with the goal of delighting and increasing the success of our users.
- Architecting, building, testing, and releasing product-facing features.
- Contributing to our side projects and free tools for the recruitment industry.
What do I need? 🤓
- 3+ years of industry experience in a backend engineering role, preferably building a SaaS product. You can demonstrate the significant impact that your work has had on the product and/or the team.
- Deep knowledge of a high-level programming language (for example, Ruby, Python, etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
- Experience with scalable distributed systems, both built from scratch as well as on Managed Platforms.
- Willingness to learn and use new technologies.
- Extremely data-driven.
- Ability to debug complex systems.
Brownie points 🍰
- Relevant experience building large-scale data systems.
Feel free to apply even if you feel unsure about whether you meet every single requirement in this posting. As long as you're a quick learner, and are excited about changing the status quo for tech recruitment, we're happy to support you as you come up to speed with our tech stack.
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We are looking for Full Stack Developer.
Experience - 3 to 5 years
Location - Ahmedabad
5 Days working
Required Skills:
- Should have strong hands on experience in Node.js, React.js & Angular.js.
- Should have experience in MongoDB and Express.Js.
- Deep understanding of object - oriented JavaScript and design principles and standards, and has a solid programming background
- Experience handling different browser capabilities
- Hands - on experience in UI optimization best practice implementations
- Demonstrated ability to accurately estimate and scope development work
- Good analytical and problem - solving skills
- Communication skills are imperative both in written and in verbal form
- Excellent organizational and coordination skills
Job Description- React Developer
● Requirements-
● Experience: 2+
Having knowledge of React JS. Having knowledge of Node JS Having Knowledge of HTML,
CSS, and JavaScript. Knowledge of web services integration and writing. Need to have strong
R&D power Knowledge of GitHub and Jira. A bit of knowledge of code building and docker
activity.
Profile- NodeJs Developers
Overall Experience- 2+ Years minimum
Pure Node.js Experience- At 1 Years
● Required Skills:- A person who is superb in node.js first and foremost. Needs to understand
the intricacies of promises and the asynchronous programming paradigm.
● A close second is experience in Graphql. Understanding Queries, Mutations and Apollo.
● Tertiary is DynamoDb and Mysql Being able to pick up a non-standard ORM and being able to
program against it.
● Developers must have experience with AWS, and preferably AppSync, Serverless Framework,
Lambdas, Codebuild and Codepipeline
● Experience building Automated Testing Frameworks using selenium, phantomjs, etc. is
preferred
- Relationships with vendors and product range management will also be part of you duties.
- The goal is to collaborate will new brands and onboard maximum number of the products
- Critical thinker, Interpersonal skills, Good communication, MS office
Technical Competencies
- Strong Java/J2EE development experience with demonstrated ability to develop and troubleshoot large mission applications & Software Products
- Experience on exception handling, correct use of data structures, multi-threaded programming, memory management and application tuning
- Excellent exposure in Object Oriented Design skills using Java/J2ee along with:
- Core Java Language (Collections, Concurrency/Multithreading)
- JDBC concepts (connection pooling, statement, result set)
- Web Technologies (Struts/Struts 2, Spring (IOP, MVC, AOP), Hibernate, JSP, Web services)
- Database optimization and profiling
- Core/JEE/Integration Design patterns/UML
- Should have experience in Unit Testing
- Good hands on experience with RDBMS like MySQL/Oracle with ability to write SQL Queries/Stored Procedures/Triggers/Joins/View etc
- Practical application of software product development standards and methodologies including Agile, XP, Kanban, RUP and UML
- Ability to apply design patterns consistently and also accurate when building per design requirements
- Good experience in source control, unit testing, code verification, documentation, automated build, continuous integration, metrics, and code reviews.
- Demonstrated problem solving, analytic and troubleshooting skills.
- Strong written and oral communication skills are required to effectively engage internal stakeholders and their technical representatives.
Mandatory Technical Skills
• BE/ B. Tech/ MCA with 8+ years experience and deep understanding of web development,
architecture, configuration, deployment and domain driven designs.
• Proficient in Javascript and Node JS.
• Experience setting up highly scalable and performant node js or any backend technology
applications
• At least 4 years of experience building backend applications preferably using node js
• Basic Understanding of HTML5 & CSS concepts
• Good understanding of server-side CSS pre-processors
• Knowledge of Design Patterns in Node JS and its implementations
• Prior experience using at least couple of SQL databases (Oracle, PostGre, MsSQL etc)
• Clear Understanding of REST and Web Services, and demonstrable and practical usage in projects.
• Very good hands on experience on code repository tools (preferably GitHub)
• Experience in preparing technical Proposal, effort and cost estimation.
• Understands the importance of technical depth and client expectation including health of the
project, critical path items, risks and impact to timelines.
• Prior experience interacting with client team and maintains good relationship
• Experience with Cloud services like AWS or Azure.
2
Good to have Skills
(Skills that are not mandatory, but adds to his/her profile weightage)
• Good written/spoken communication.
• Working knowledge of building hybrid mobile applications.
• Working knowledge of CI/CD tools and usage in projects.
• Working knowledge of Angular.
Overall 11+ years of experience, with at-least 2+ years in Architecture. Hands-on and able to go deep into the code, if needed.
Mandatory Architecture & Design Skills: Design Pattern, Scalablity, Security, Resiliency, Micro-Services.
Mandatory Technology Skills: Kafka, Spring WebFlux, Spring Reactor, NoSQL (at least 1 NoSQL database experience is must), Java 8+, JWT, Spring Boot, Jmeter, New Relic, JVisualVM, JVM tuning.
Desirable Technology Skills: Couchbase, AWS, Docker, JProfiler, ELK, HDFS, HBase, Kubernetes. docker
Job Responsibilities
Mentor the team and guide to resolve the issues
- design
- Scalability testing
- Security
- Microservices
- Java8
- Java Workflow Tooling (JWT)
- Jmeter
- New Relic
- Spring WebFlux
- Kafka
- NoSQL DB
- Spring Boot
Keyskills - Nice to Have
- Couchbase
- Amazon Web Service (AWS)
- Docker
- ELK
- Kubernetes









