Job Description
Artificial Intelligence (AI) is looking for an experienced AI Upskilling Program Manager to take ownership of the AI Training & Upskilling Programs 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 3 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across Machine Learning, AI Training, Model Deployment (MLOps), Neural Network Architectures, TensorFlow/PyTorch. 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 14.1-41.8 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 training & upskilling programs.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
High performers in this role typically move into a broader ownership scope within 18-24 months. The package is structured with a fixed component, performance bonus, and standard health coverage. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The successful candidate will bring approximately 3 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across Machine Learning, AI Training, Model Deployment (MLOps), Neural Network Architectures, TensorFlow/PyTorch. 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 14.1-41.8 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 training & upskilling programs.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
High performers in this role typically move into a broader ownership scope within 18-24 months. The package is structured with a fixed component, performance bonus, and standard health coverage. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.