Job Description
This position calls for a Machine Learning Implementation Associate who can take ownership of core responsibilities within our Machine Learning Engineering team. This is a junior level opening based out of Hybrid - Bengaluru, offered on a contract basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to machine learning engineering. Day-to-day, the work draws heavily on Machine Learning Engineering, Cloud Platforms (AWS/GCP), Python, Deep Learning, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 13.5-22.9 LPA, in line with market standards for junior level roles within machine learning.
Interested candidates should be prepared to walk through relevant past work during the interview process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The organisation has historically promoted from within for a majority of its senior and lead openings. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Learning and certification support is available for tools and frameworks directly relevant to the role. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The next logical step from this position is a senior or lead-track role within the same function. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Compensation includes standard statutory benefits along with performance-linked variable pay.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to machine learning engineering. Day-to-day, the work draws heavily on Machine Learning Engineering, Cloud Platforms (AWS/GCP), Python, Deep Learning, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 13.5-22.9 LPA, in line with market standards for junior level roles within machine learning.
Interested candidates should be prepared to walk through relevant past work during the interview process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The organisation has historically promoted from within for a majority of its senior and lead openings. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Learning and certification support is available for tools and frameworks directly relevant to the role. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The next logical step from this position is a senior or lead-track role within the same function. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Compensation includes standard statutory benefits along with performance-linked variable pay.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.