An Associate AI Engineer role has opened up in Thaltej, off SG Highway in Ahmedabad, working on-site with a data science and machine learning team. It's a full-time position paying INR 91,500 a month, which puts it comfortably ahead of most entry- to associate-level AI engineer jobs in Ahmedabad right now.
Who this suits
The academic bar is a four-year undergraduate degree, and the team leans toward candidates with a quantitative background; computer science or statistics both work well, since much of the day-to-day involves reasoning about numbers as much as writing code. On the experience side, they're looking for someone already about a year and a half into hands-on machine learning work, not a fresh graduate who's only touched models in coursework projects. That gap between "studied it" and "shipped it" tends to matter a lot at this level.
Comfort with Python is non-negotiable, since nearly everything here, from data cleaning scripts to model training pipelines, runs through it. Beyond that, the team wants someone who's worked with at least one major machine learning framework (TensorFlow or PyTorch, either is fine), has some real exposure to deep learning concepts rather than just classical ML, and has actually taken a model from a notebook to something running in production, even a small one.
Nice to have
Some background with MLOps tooling, things like Docker, MLflow, or a CI/CD pipeline built around model retraining, is a plus, though the team is open to someone picking this up on the job if their core modeling skills are strong. Prior exposure to a cloud ML platform such as AWS SageMaker or Vertex AI helps too. And anyone who's dealt with model drift or retraining a model after its accuracy quietly dropped over a few months already has a useful instinct that's hard to teach from scratch.
What the role actually involves
- Pulling in raw datasets and getting them into a usable shape, including handling missing values, inconsistent formatting, and outliers that would otherwise skew a model
- Applying machine learning and statistical techniques to find patterns worth acting on, not just running a default algorithm and calling it done
- Presenting findings and model performance to stakeholders who often aren't technical, in a way that actually helps them decide something
- Recommending which models or approaches are worth moving toward production based on real performance tradeoffs, not just accuracy on a test set
One recent example from the team: a churn-prediction model performed well in testing but started flagging almost every customer as high-risk within a few weeks of deployment, because the underlying customer behavior had shifted and nobody had set up monitoring to catch it early. Situations like that come up more often than people expect at the associate level, and noticing something's off before a stakeholder does counts for a lot.
Compensation and what's included
Base pay is INR 91,500 per month. On top of that, this associate-level role includes health insurance, paid time off, and provident fund contributions, all fairly standard for machine learning roles at this level. Because the position is on-site, there's also access to the office cafeteria and either a company cab or a commute allowance, depending on where someone's coming from.
The setup
This listing is handled through Naukri Mitra for a growing data science group based in Ahmedabad's SG Highway corridor, which has quietly become one of the city's busier tech pockets over the past few years. The team is small enough that an associate engineer here gets real visibility into how models actually get used, not just a narrow slice of a much bigger pipeline. That visibility is part of why the growth path from this seat tends to move fairly directly toward a full AI engineer or ML engineer title within a couple of years, assuming the work holds up.
Applicants should be ready to talk through a project where a model didn't perform as expected and what they did about it, since that tends to reveal more than a clean success story would. Candidates currently in Ahmedabad or open to relocating are both welcome, and the team is reviewing applications as they come in rather than waiting for a fixed deadline.
