Job Description
Position: AI Product Analyst – BI Solutions
Function: AI for Business Intelligence
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Kochi
Employment Type: Full-time
Compensation: INR 5.7-29.6 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai for business intelligence, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 5 years
Core Competencies Required: Natural Language Processing, Python, Statistical Modelling, Machine Learning, AI for Business Intelligence, Computer Vision, Model Deployment (MLOps)
Further Information:
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The next logical step from this position is a senior or lead-track role within the same function. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Interested candidates should be prepared to walk through relevant past work during the interview process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Function: AI for Business Intelligence
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Kochi
Employment Type: Full-time
Compensation: INR 5.7-29.6 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai for business intelligence, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 5 years
Core Competencies Required: Natural Language Processing, Python, Statistical Modelling, Machine Learning, AI for Business Intelligence, Computer Vision, Model Deployment (MLOps)
Further Information:
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The next logical step from this position is a senior or lead-track role within the same function. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Interested candidates should be prepared to walk through relevant past work during the interview process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.