House of Data/Placement
After the course
If the job takes longer, you still have a way through.
Over 100 students went into MNC roles in 2026 alone, alongside internships and a group now building products of their own. Most institutes end at the certificate. That is the point where the actual work starts here — the resume rewrite, the profile marketing, the mock interviews and, if you finish and are still not placed, a plan where you pay only once you are earning.
students placed in MNCs, taken on as interns, and building products of their own — all from this room, in 2026 alone.
How placement worksWe Train for Careers, Not Just Certificates.
Learn. Build. Get Placed.
The lounge
Work from here like it is your own front room.
That is Vinitha, in the office lounge on a festival morning. She came to House of Data to move her career into data science — and the offer that came was one she had not planned for: a role abroad with Cognizant. She has been in it more than two years now. Nobody booked this room for her either. She walked in, sat down, and used it.
The place is premium because of how it feels to be in, not because of what it cost to build. Practise where you like — at home, in a café, or right here in the comfort of this lounge, festival day or ordinary Tuesday.
Where they went
Six of them, by name.
Not stock photographs and not initials. These are students who sat in the room in Dilsukhnagar, and the companies and packages they left for. They are a handful of the hundred-plus placed in 2026 alone — the rest are in the same position, we simply cannot fit everyone on one page.
Highest package placed₹40 LPA
Four years at TCS in Hyderabad, doing work that had stopped teaching her anything. She came for the Gen AI programme, and left it for Zensar on the American Express account — at roughly four times what she had been earning.
From Karnataka, settled in Hyderabad, and at TCS before this. She more than doubled her package on the way out — the sort of move that only happens when the projects on the CV are real ones.
Back from the United States after her bachelor's, and in no mood to wait. She took the Fast Track, picked it up quickly, and had the Coforge offer two months after her first class.
An H-1B holder in the United States who decided he wanted to be in India. He enquired the week he landed, joined, and cracked ITC Infotech on the Hitachi account.
Another one out of TCS. She is an AI Developer at Cognizant now — the same title people spend years circling around without ever getting the projects that prove it.
He joined House of Data last year with no AI on his CV at all. He is an AI Engineer at Coforge.
Packages are what the offer letter said. Hikes are against what the person was earning before they joined. We will introduce you to any of them before you enrol — ask on the demo call.
Where this leads
Roles and packages, 2025–26.
Market averages per annum. During enrolment we map your own profile against these and give you an honest number, not a brochure number.
Why here
Hyderabad is where the data is going.
Bangalore leads the country for data science roles and Hyderabad is second — and the infrastructure being built here is the reason that gap keeps closing.
One student, two months apart
Swaroop came back from the UK with a master's and no job.
He had the degree. A master's, finished in the UK, and a flight home with the assumption that the rest would follow. It did not. Months went by in the way they go by for a lot of returning students — applications into the void, a few interviews that went nowhere, and the slow suspicion that the qualification alone was not the thing employers were actually asking for.
So he did the rounds. Demo class at one institute in Hyderabad, a counsellor call from another, a syllabus PDF from a third. Most of them sold the same recorded course with a different cover. He walked into House of Data late in that search, sat at the back of a live session, and stayed.
What changed was not the syllabus. It was that he built things — a RAG pipeline, an agent workflow, both deployed and both his — and that the profile work started while he was still learning, not after. Two months later he joined a multinational as an AI Engineer.
- MSc, United KingdomCame home to a market that wanted proof, not paper
- 2 monthsFrom joining the batch to signing the offer
- AI EngineerAt a multinational, in Hyderabad
“I came back from the UK with a master's and I still could not get a call. I went through four or five institutes in Hyderabad before this one — every place had a syllabus, nobody had a plan for me. House of Data was the first place where the person teaching me had actually built the thing he was teaching, and where somebody looked at my resume as if it were their problem too.
Two months later I was working as an AI Engineer at an MNC. The projects are what got me the interviews; the mock rounds are what got me through them. If you are where I was — qualified, home, and stuck — go and sit in one class here before you decide anything.”
SwaroopAI Engineer at a multinational · MSc, United Kingdom · House of Data alumnus
★★★★★
Net one
Profile marketing.
We take complete responsibility for how you are presented to the market. Not advice about what you should do — the work itself, done for you.
- Your resume, actually rewritten. Not a template with your name dropped in. A rewrite built around your projects by someone who knows what an AI hiring manager reads in the first ten seconds.
- Naukri, positioned. Configured for the roles that are hiring right now, with the keywords those recruiters are searching, refreshed while your search is live.
- LinkedIn, rebuilt. Headline, About, projects and the activity recruiters actually see when they land on your profile.
- Direct submissions to hiring partners. Your profile goes through the placement cell into our network, rather than into a job board where it competes with four hundred others.
- Mock interviews until your answers hold. Technical, project deep-dive and HR rounds, run by the engineers who teach you — repeated until the answers stand up under pressure.
Net two
The Advanced Placement Plan.
If you complete the program and are still not placed, you can move onto the plan where you pay only after you are earning.
- Step 1Profile health check Your profile, projects and interview performance are assessed properly and reported back to you — including the uncomfortable parts.
- Step 2Sign the agreement, join the drive You sign the income-share agreement and join the placement drive. Every condition is in writing and explained to you before you sign anything.
- Step 3Documents and calendar Share your documents and get onto the drive calendar, so you are in the queue for interviews as they come in.
- Step 4Pay after getting the offer letter Nothing is due until the offer letter is in your hand. After that you pay in monthly instalments out of your salary — once there is a salary to pay from.
- Step 5Come back as a mentor Optional, and a fair number do. The people who were sitting where you are now make the best interview coaches.
Job assurance is conditional — attendance, assignment completion and interview participation all apply. We walk you through the exact written conditions before you enrol, not after. If a condition would be hard for you to meet, we would rather find that out at the demo class.
What you are aiming at
AI hiring is no longer two job titles.
“Data Scientist” and “ML Engineer” used to be the whole market. Companies now hire across engineering, product, infrastructure and governance — and in India the sharpest demand is for people who can put AI systems into production.
Fastest growing in India 2026
Where the hiring curve is steepest right now.
- Agentic AI Developer
- AI Software Engineer (Agentic & MCP)
- GenAI & Agentic AI Engineer
- Agentic AI Architect
- RAG & Agentic AI Lead
- GenAI Solution Architect
- AI Product Manager
- AI Platform Engineer
- AI Quality Engineer (GenAI)
- AI Automation / DevSecOps Engineer
Core AI 11 roles
The engineering and science foundation.
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Applied AI Engineer
- AI Software Engineer
- Research Engineer
- AI Research Scientist
- Deep Learning Engineer
- NLP Engineer
- Computer Vision Engineer
- Speech AI Engineer
Generative AI 12 roles
Building on top of foundation models.
- Generative AI Engineer
- LLM Engineer
- Prompt Engineer
- Prompt Designer
- RAG Engineer
- AI Agent Developer
- Multi-Agent Systems Engineer
- Agentic AI Engineer
- AI Workflow Engineer
- AI Application Engineer
- AI Automation Engineer
- AI Integration Engineer
Architecture & leadership 8 roles
Where senior careers go after 7+ years.
- AI Architect
- GenAI Solution Architect
- AI Enterprise Architect
- AI Platform Architect
- AI Technical Lead
- AI Delivery Manager
- AI Engineering Manager
- AI Practice Lead
Data engineering 7 roles
The pipes everything else runs on.
- Data Engineer
- AI Data Engineer
- ML Data Engineer
- Vector Database Engineer
- Knowledge Graph Engineer
- Data Platform Engineer
- Feature Store Engineer
Infrastructure — MLOps & LLMOps 9 roles
The gap between a notebook and a product.
- MLOps Engineer
- LLMOps Engineer
- AI Platform Engineer
- AI Infrastructure Engineer
- AI DevOps Engineer
- AI Cloud Engineer
- AI Systems Engineer
- Model Deployment Engineer
- AI Reliability Engineer (AI SRE)
Quality & evaluation 7 roles
New category, barely any competition yet.
- AI QA Engineer
- LLM Evaluator
- AI Testing Engineer
- AI Validation Engineer
- Prompt Evaluator
- Red Team Engineer
- AI Benchmark Engineer
Security & governance 8 roles
Rising fast as regulation catches up.
- AI Security Engineer
- AI Safety Engineer
- Responsible AI Engineer
- AI Governance Specialist
- AI Compliance Analyst
- AI Risk Manager
- AI Privacy Engineer
- AI Auditor
Product & business 8 roles
For people who'd rather shape AI than build it.
- AI Product Manager
- AI Product Owner
- AI Business Analyst
- AI Consultant
- AI Solutions Consultant
- AI Strategy Consultant
- AI Adoption Specialist
- AI Customer Success Engineer
AI operations 6 roles
Keeping live AI systems healthy.
- AI Operations Engineer
- AI Support Engineer
- AI Monitoring Engineer
- AI Observability Engineer
- AI Incident Manager
- AI Runtime Engineer
Domain-specific AI 8 roles
Your existing industry experience becomes an asset.
- Healthcare AI Engineer
- Finance AI Engineer
- Legal AI Engineer
- HR AI Specialist
- Marketing AI Specialist
- Supply Chain AI Engineer
- Manufacturing AI Engineer
- Cybersecurity AI Engineer
Research 6 roles
Usually needs a postgraduate background.
- Research Scientist
- Research Engineer
- Foundation Model Engineer
- AI Algorithm Engineer
- Reinforcement Learning Engineer
- Multimodal AI Engineer
Generally the highest paying: AI Architect · Applied AI Engineer · LLM Engineer · AI Platform Engineer · Research Engineer · AI Product Manager · Agentic AI Engineer · AI Security Engineer · MLOps / LLMOps Engineer · AI Consultant. During enrolment we look at your background and tell you which two or three of these are realistically reachable, and in what order.
Not sure which of these is realistic for your background? Run the free profile check — it gives you an honest read on which roles are reachable and what you are missing, in about two minutes.
Ask us the hard questions.
How many were placed last batch. What the conditions actually say. What happens if you miss classes. Bring all of it to the demo class — those are the questions we would ask too.