Job Description
Artificial Intelligence (AI) is looking for an experienced AI Platform Engineer to take ownership of the AI Operations (AIOps) charter at a mid level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 4 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Machine Learning, Computer Vision, Python, AI Operations (AIOps), Natural Language Processing. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Bhubaneswar on a full-time arrangement. Compensation is benchmarked at INR 18.6-45.3 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai operations (aiops).
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. High performers in this role typically move into a broader ownership scope within 18-24 months.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The successful candidate will bring approximately 4 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Machine Learning, Computer Vision, Python, AI Operations (AIOps), Natural Language Processing. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Bhubaneswar on a full-time arrangement. Compensation is benchmarked at INR 18.6-45.3 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai operations (aiops).
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. High performers in this role typically move into a broader ownership scope within 18-24 months.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.