HR Generalist

Role & Responsibilities

drives large-scale data modernization and AI readiness for global enterprises. We are looking for an experienced Data Modeler to design, standardize, and maintain enterprise data models across our modernization initiatives — ensuring consistency, quality, and business alignment across cloud data platforms.

The person will be responsible for translating business requirements and data flows into robust conceptual, logical, and physical data models across multiple domains (Customer, Product, Finance, Supply Chain, etc.). You will work closely with Data Architects, Engineers, and Governance teams to ensure data is structured, traceable, and optimized for analytics and interoperability across platforms like Snowflake, Dremio, and Databricks.

Key Responsibilities-

• Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.
• Engage with Business Stakeholders: Collaborate with business teams, business analysts and SMEs to understand business processes, data lifecycles, and key metrics that drive value and outcomes.
• Value Chain Understanding: Analyze end-to-end customer and product value chains to identify critical data entities, relationships, and dependencies that should be represented in the data model.
• Conceptual and Logical Modeling: Translate business concepts and data requirements into conceptual and logical data models that capture enterprise semantics and support analytical and operational needs.
• Physical Data Modeling: Design and implement physical data models optimized for performance and scalability
• Semantic Layer Design: Create semantic models that enable business access to data via BI tools and data discovery platforms.
• Data Standards and Governance: Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.
• Implement naming conventions, data standards, and metadata definitions across all models.
• Collaboration with Data Engineering: Work closely with data engineers to align data pipelines with the logical and physical models, ensuring consistency and accuracy from ingestion to consumption.
• Manage version control, lineage tracking, and change documentation for models.
• Participate in data quality and governance initiatives to ensure trusted and consistent data definitions across domains.
• Create and maintain a business glossary in collaboration with the governance team.

Ideal Candidate

• Strong Enterprise Data Modeller profile (Modern Data Platforms)
• Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
• Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
• Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
• Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
• Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
• Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• Preferred (Experience 1) – Should have familiarity with data governance, metadata management, lineage, and business glossary tools such as Collibra, Alation, or Microsoft Purview.
• Preferred (Experience 2) – Exposure to data integration pipelines and ETL frameworks such as Informatica, DBT, Airflow, or similar tools.
• Preferred (Data Management) – Understanding of master data management (MDM) and reference data management principles.
• Preferred (Domain) – Experience working with high-tech or manufacturing data domains, including customer, product, or supply chain data models

Role: Content Intern

📍 Location: 

🕒 Experience: 0–1 year (Freshers welcome)

📌 Preference: Bangalore-based candidates

🎨 Portfolio: Content / Reels / Ad Creatives preferred

Job Description

We’re looking for a Social & Ad Content Creation Intern who understands what grabs attention and drives action. You’ll work closely with the marketing and creative teams to ideate, create, and execute high-performing content and ad creatives across Meta (Instagram & Facebook) and other platforms as required.

Key Responsibilities

Create engaging short-form videos, reels, static creatives, and stories for social media & paid ads

Assist in conceptualizing ad creatives aligned with campaign objectives (awareness, engagement, conversions)

Develop monthly/weekly content & ad idea calendars for agency and client brands

Coordinate with design, performance marketing, and production teams

Requirements

Strong interest in content creation for social & ads

Actively creating content for a brand, personal brand, or collaborations

Understanding of hooks, trends, reels formats, and ad creatives

Basic knowledge of Instagram & Facebook ad-friendly content styles

Comfortable brainstorming creative ideas for performance marketing

Good communication and coordination skills

Previous social media / content internships are a plus (not mandatory)

Why Join Us?

Hands-on experience with real ad campaigns

Learn how content performs beyond likes & views

Exposure to brand, ads, and performance marketing

Fast-paced environment with creative freedom

PPO: Performance based - create a small hiring alert in linkdin

Integration with OpenAI GPT-4, Anthropic Claude, and open-source models

* Strong prompt engineering and tone-specific output design

* Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks

* Experience with fine-tuning and LoRA (Low-Rank Adaptation) techniques

* Model quantization for local deployment using tools such as GGML, GPTQ, or bits and bytes

* Deployment of local LLMs using frameworks like Hugging Face Transformers, vLLM, or llama.cpp

* Knowledge of tokenizers library for efficient text preprocessing

* Ability to optimize model performance for low-latency inference

At Incruiter, we are building a next-generation SaaS platform that transforms how companies hire talent. As a QA Engineer – Manual Testing, you will take ownership of ensuring the reliability, functionality, and user experience of our product. This is an opportunity to be a quality champion and set up scalable QA practices in a fast- paced startup environment.

EXCITED ABOUT YOUR TASKS?

● Lead the manual testing efforts for Incruiter’s SaaS applications (web)

● Design, document, and execute comprehensive test plans, cases, and scenarios.

● Perform functional, regression, integration, system, and UAT testing to ensure high-quality releases.

● Use Postman to validate and test APIs. Identify, log, and track bugs to closure using tools like Jira, TestRail, and Bugzilla.

● Collaborate with Product Managers, Developers, and Business Teams to ensure clear understanding of requirements.

● Prepare and maintain QA documentation (test reports, defect analysis, test strategies).

● Mentor and guide junior QA members, ensuring adherence to best practices.

● Own the QA sign-off process before each release.

WHAT WILL YOU NEED TO SUCCEED?

● 2+ years of strong hands-on experience in manual testing (SaaS/product- based environment preferred).

● Proven expertise in testing web applications, APIs, and mobile applications.

● Strong knowledge of SDLC, STLC, and defect lifecycle.

● Proficiency in using Postman for API testing.

● Good to have Hands-on experience with Jira, TestRail, and Bugzilla.

● Strong attention to detail, analytical skills, and problem-solving ability.

● Excellent communication skills to work effectively across teams.

Responsibilities:

• Onboarding and Training:
• Guide new customers through the onboarding process, ensuring a smooth and efficient implementation.
• Conduct training sessions and provide educational resources to help customers maximize the value of our products/services.
• Relationship Management:
• Build and maintain strong, long-term relationships with assigned customers.
• Serve as the primary point of contact for customer inquiries and concerns.
• Proactively engage with customers to understand their needs and challenges.
• Customer Advocacy:
• Act as the voice of the customer within the organization, providing feedback to product and development teams.
• Identify opportunities to improve the customer experience and advocate for customer-centric solutions.

We are looking for a Full Stack Engineer for a client of ours, that is headquartered in USA and is operating in the field of health tech space, offering an innovative solution for dominate health issues. The company is well funded and backed by investors like Sequoia Capital.

They are looking for people who are interested to join their company and help them make an impact on their product development and growth.

In this role you will be part of the Product Engineering Team, and will be responsible for working with cross functional teams.

Experience Required

5+ years experience, having worked on both frontend and backend development - hands on development experience from front end, middle tier and back end.

3+ years of experience building Restful web service using node.js

3+ years of experience for writing batch/cron jobs using Python and shell scripting

3+ years of experience in web application development using javascript and ReactJs

Have understanding of javascript, Typescript, HTML, CSS, JSON, Rest based applications

Experience in database techs - mongodb, mysql, redis, elastic search

Experience of building applications deployed on the cloud using AWS, Docker and kubernetes

Good to have : - understanding of code versioning tools like Git

Experience or understanding of JS based build tools like Grunt, Gulp, Bower, Webpack and NPM

Good communication, willingness to work in a diverse team, and a fast paced environment would be a requirement to be successful in this role.

Education Experience

Degree in Computer science would be preferred / equivalent professional experience in product companies.