Job Description
Artificial Intelligence (AI) is looking for an experienced Junior Machine Learning Risk Engineer to take ownership of the AI-driven Risk Management charter at a junior 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 1 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Neural Network Architectures, driven Risk Management, Python, Computer Vision, Model Deployment (MLOps). 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 Chandigarh on a contract arrangement. Compensation is benchmarked at INR 6.7-14.1 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-driven risk management.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The successful candidate will bring approximately 1 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Neural Network Architectures, driven Risk Management, Python, Computer Vision, Model Deployment (MLOps). 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 Chandigarh on a contract arrangement. Compensation is benchmarked at INR 6.7-14.1 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-driven risk management.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.