
Brand Name: unHR
Profile: HR Operations
Website: https://unhr.in/" target="_blank">https://unhr.in/
Location: Hauz Khas (South Delhi)
Hours: 9:30 AM – 6:30 PM Mon-Fri, Sat 9:30 AM-4 PM
About The Promoters:
Dishi Jain : https://www.linkedin.com/in/jaindishi/" target="_blank">https://www.linkedin.com/in/
Ankit Bansal : https://www.linkedin.com/in/ankitbansal21/" target="_blank">https://www.linkedin.com/
unHR was incepted by the idea to help founders provide scalable and affordable solutions in HR. Our Expertise is to provide HR processes and frameworks and help founders with strategic HR advisory.
Roles & Responsibilities:
1. Set objectives for the HR team and track progress based on metrics.
2. Monitor internal HR systems and databases
3. Complete HR operational requirements by scheduling and assigning employees;
following up on work results
4. On-boarding (verifications & documentation, induction, training etc)
5. Generalist Activities (Employee engagement/relationship, payroll, PF’s,
events, CSR etc)
6. Miscellaneous Activities (Preparing various reports, Analysing Jobs/Hires -
quarterly/half yearly/annually sometimes daily)
7. Handel 4-5 clients at a time.
8. Visit one day in a week/month to the client’s place.
9. Should be okay with coordinating and scheduling for Tech Hirings.
Requirements:
1. 2-4 Years of experience in Operations.
2. Excellent analytical and decision-making abilities.
3. Team management skills.
4. Hands-on experience with Human Resources Information Systems.
5. Effective communicator with the ability to build relationships with senior leaders.

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Job Description – AI Developer
Job Description
We are seeking a forward-thinking AI Developer with expertise in Generative AI, Machine Learning, Data Science, and Advanced Analytics. In this role, you will design, optimize, and deploy scalable AI solutions that power automation, personalization, and decision intelligence. You will closely collaborate with data engineers, product leaders, and business stakeholders to develop production-grade AI systems aligned with the latest enterprise AI trends such as LLM, prompt engineering, multimodal AI, and trustworthy/ethical AI practices.
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- Implement RAG pipelines, embeddings-based search, and knowledge graph integrations to enhance context-aware AI applications.
- Stay ahead of AI research, industry trends, and tools (multi-agent systems, federated learning, privacy-preserving ML).
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Preferred / Nice to Have
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- Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
- Ensure that the MLOps stack is scalable, reliable, and secure.
Skills Required:
- 3-6 years of MLOps experience
- Preferably worked in the startup ecosystem
Primary Skills:
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Compensation - ₹18.0L - ₹35.0L
Experience - 5.0 - 7.0 Year(s) : Min 5 yrs of Solid Product management Experience
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Qualification - B.Tech/B.E.
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Some of our opensource projects- https://meet.google.com/linkredirect?authuser=0&dest=https%3A%2F%2Fgithub.com%2Fmedly">https://github.com/medly
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- Test Driven Development,
- Security Compliance like HIPAA, PCI-DSS, SOC2
- Git, Linux, CI/CD, Gradle, IDEA
- Security based on OAuth2 / OIDC
- SQL and NoSQL DBs like PostgreSQL, DynamoDB, ElasticSearch
- Docker
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