Hire AI and Data Engineers in India

Open the role with the tools, models, seniority and timezone overlap you need. Mira AI drafts the job description and scorecard, the role reaches our candidate community, and every application is scored against your scorecard as it arrives. You interview the ranked shortlist, and when you are ready to offer, Wisemonk employs the person on your behalf so you do not need an Indian entity.

Any of them. AI and ML engineering, data science, data engineering, analytics and BI, MLOps, generative AI and data annotation are the areas we hire for most. Roles outside those, from computer vision research to decision science and data governance, can be opened the same way; the scorecard is built from your brief, not from a fixed list.

It depends on seniority, the specialism and the city. A senior ML engineer who owns models in production is benchmarked very differently from a mid-level analyst. When you post a role, we check your salary band against our own payroll data for that specialism and tell you before it goes live whether the band will fill the role. On top of salary, employer costs in India include provident fund and gratuity, which Wisemonk carries as the legal employer.

Applications start arriving as soon as the role is live, and Mira AI scores them as they come in. The start date is set by the notice period rather than the search: employed engineers commonly serve 30 to 90 days, and senior specialists are often a full 90. Filter for shorter notice when the start date matters more than seniority.

Mira AI scores each application against the scorecard you wrote, which for these roles usually means named tools and frameworks, the models or pipelines they have shipped, and the scale of data they have worked with. Every score comes with the reasoning behind it. You still run your own technical rounds, and a take-home on a realistic dataset tells you more than any CV.

Partial overlap with the UK and Europe is standard and easy to staff. Full US-hours shifts are a smaller pool, so set the overlap you need when you open the role and only candidates who accept it apply. Most teams settle on a four to five hour overlap window and hire faster for it.

No. Wisemonk becomes the legal employer, holds the employment contract, runs payroll, and handles provident fund, gratuity, ESI and income tax withholding. You direct the work day to day. If you already have an Indian entity, you can employ the person on it instead. That is decided at offer stage, not when you post.

Indian law looks at how the work is directed, not at what the contract is called. If you set hours, supply the laptop and manage someone daily, treating them as a contractor carries misclassification risk, and it also affects who owns the models and data work they produce. Employment through Wisemonk removes that risk without needing your own entity.

Your company. The employment contract Wisemonk signs on your behalf includes IP assignment and confidentiality terms, so work created in the course of employment, including models, code and datasets, belongs to you, not to the individual or to Wisemonk.

Roughly six to nine years, owning an ML system or a data platform end to end, setting the patterns others follow and making the build-versus-buy calls. Titles inflate in the Indian market, so write the scope you need into the scorecard rather than relying on the job title on a CV.

One is fine. Most companies open a single role, see who applies, and decide afterwards whether it becomes a team. There is no minimum headcount and nothing committed by opening a role.

Yes. Screen candidates with Mira AI and export them into your own system, or run the whole process here. Candidates from your careers page, a referral or another job board get scored against the same scorecard as ours.