Job Description
We are looking to onboard a Data Engineering Trainee to strengthen our Data Engineering function within Machine Learning. This is a junior level opening based out of Mumbai, offered on a full-time basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Deep Learning, Data Engineering, TensorFlow/PyTorch, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 6.7-22.5 LPA, in line with market standards for junior level roles within machine learning.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Learning and certification support is available for tools and frameworks directly relevant to the role.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
High performers in this role typically move into a broader ownership scope within 18-24 months. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Compensation includes standard statutory benefits along with performance-linked variable pay.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Deep Learning, Data Engineering, TensorFlow/PyTorch, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 6.7-22.5 LPA, in line with market standards for junior level roles within machine learning.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Learning and certification support is available for tools and frameworks directly relevant to the role.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
High performers in this role typically move into a broader ownership scope within 18-24 months. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Compensation includes standard statutory benefits along with performance-linked variable pay.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.