Job Description
Deep Learning Algorithm Assistant | Delhi NCR | INR 2.2-13.7 LPA
Deep Learning role, junior level, contract.
Need: B.Tech (CS/AI), 0+ yrs.
Core skills: MLOps, Python, Machine Learning Algorithms, Deep Learning, Cloud Platforms (AWS/GCP).
If this fits your profile in deep learning, apply now.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Deep Learning role, junior level, contract.
Need: B.Tech (CS/AI), 0+ yrs.
Core skills: MLOps, Python, Machine Learning Algorithms, Deep Learning, Cloud Platforms (AWS/GCP).
If this fits your profile in deep learning, apply now.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.