Job Description
## Machine Learning Programmer
**Department:** Machine Learning Engineering | **Industry:** Application Development / Software Applications
**Location:** Noida | **Job Type:** Full-time | **CTC:** INR 6.6-14.3 LPA
### Role Overview
An opening exists for a Machine Learning Programmer to join the Application Development / Software Applications vertical, focused on Machine Learning Engineering. The role is positioned at the junior level and reports into the broader Machine Learning Engineering charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to machine learning engineering.
- Apply working knowledge of Machine Learning Engineering and Version Control (Git) to daily execution.
- Coordinate with cross-functional stakeholders within Application Development / Software Applications.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- BCA or equivalent qualification.
- 0 years of relevant experience (junior level).
- Working proficiency in: Machine Learning Engineering, Version Control (Git), CI/CD Pipelines, Cloud Deployment, Java/Python/JavaScript.
### Additional Notes
Compensation includes standard statutory benefits along with performance-linked variable pay. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process. Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The next logical step from this position is a senior or lead-track role within the same function. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**Department:** Machine Learning Engineering | **Industry:** Application Development / Software Applications
**Location:** Noida | **Job Type:** Full-time | **CTC:** INR 6.6-14.3 LPA
### Role Overview
An opening exists for a Machine Learning Programmer to join the Application Development / Software Applications vertical, focused on Machine Learning Engineering. The role is positioned at the junior level and reports into the broader Machine Learning Engineering charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to machine learning engineering.
- Apply working knowledge of Machine Learning Engineering and Version Control (Git) to daily execution.
- Coordinate with cross-functional stakeholders within Application Development / Software Applications.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- BCA or equivalent qualification.
- 0 years of relevant experience (junior level).
- Working proficiency in: Machine Learning Engineering, Version Control (Git), CI/CD Pipelines, Cloud Deployment, Java/Python/JavaScript.
### Additional Notes
Compensation includes standard statutory benefits along with performance-linked variable pay. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process. Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The next logical step from this position is a senior or lead-track role within the same function. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.