Job Description
Position: AI Business Innovation Assistant
Function: AI Strategy & Business Integration
Industry: Machine Learning
Grade: junior level
Location: Jaipur
Employment Type: Full-time (WFH)
Compensation: INR 12.5-20.4 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai strategy & business integration, 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: Data Preprocessing, Business Integration, AI Strategy, Model Evaluation & Tuning, Statistical Modelling, Deep Learning
Further Information:
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Relocation assistance may be extended for candidates moving from a different city, subject to approval. References may be requested closer to the offer stage rather than at the start of the process. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The organisation has historically promoted from within for a majority of its senior and lead openings. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Function: AI Strategy & Business Integration
Industry: Machine Learning
Grade: junior level
Location: Jaipur
Employment Type: Full-time (WFH)
Compensation: INR 12.5-20.4 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai strategy & business integration, 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: Data Preprocessing, Business Integration, AI Strategy, Model Evaluation & Tuning, Statistical Modelling, Deep Learning
Further Information:
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Relocation assistance may be extended for candidates moving from a different city, subject to approval. References may be requested closer to the offer stage rather than at the start of the process. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The organisation has historically promoted from within for a majority of its senior and lead openings. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.