Job Description
Position: Machine Learning Model Developer (Junior)
Function: Machine Learning Engineering
Industry: Machine Learning
Grade: junior level
Location: Coimbatore
Employment Type: Full-time (WFH)
Compensation: INR 11.5-24.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with machine learning engineering, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: M.Tech (Machine Learning)
Minimum Experience: 2 years
Core Competencies Required: Deep Learning, TensorFlow/PyTorch, Computer Vision/NLP Basics, Python, MLOps, Machine Learning Engineering
Further Information:
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Function: Machine Learning Engineering
Industry: Machine Learning
Grade: junior level
Location: Coimbatore
Employment Type: Full-time (WFH)
Compensation: INR 11.5-24.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with machine learning engineering, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: M.Tech (Machine Learning)
Minimum Experience: 2 years
Core Competencies Required: Deep Learning, TensorFlow/PyTorch, Computer Vision/NLP Basics, Python, MLOps, Machine Learning Engineering
Further Information:
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.