Job Description
AI Solutions Engineer – Business Intelligence | Kochi | INR 12.5-20.1 LPA
AI for Business Intelligence role, junior level, full-time.
Need: M.Tech (AI/ML), 2+ yrs.
Core skills: Statistical Modelling, AI for Business Intelligence, Model Deployment (MLOps), Python.
If this fits your profile in ai for business intelligence, apply now.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Interested candidates should be prepared to walk through relevant past work during the interview process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
AI for Business Intelligence role, junior level, full-time.
Need: M.Tech (AI/ML), 2+ yrs.
Core skills: Statistical Modelling, AI for Business Intelligence, Model Deployment (MLOps), Python.
If this fits your profile in ai for business intelligence, apply now.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Interested candidates should be prepared to walk through relevant past work during the interview process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.