Job Description
## AI Strategy Solutions Consultant
**Department:** AI Strategy & Business Integration | **Industry:** Machine Learning
**Location:** Chandigarh | **Job Type:** Hybrid | **CTC:** INR 5.7-17.2 LPA
### Role Overview
The organisation is seeking a qualified AI Strategy Solutions Consultant to support ongoing initiatives in AI Strategy & Business Integration. The role is positioned at the mid level and reports into the broader AI Strategy & Business Integration charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai strategy & business integration.
- Apply working knowledge of Deep Learning and AI Strategy to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Deep Learning, AI Strategy, Business Integration, Python, TensorFlow/PyTorch, Feature Engineering.
### Additional Notes
The next logical step from this position is a senior or lead-track role within the same function. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. High performers in this role typically move into a broader ownership scope within 18-24 months. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
**Department:** AI Strategy & Business Integration | **Industry:** Machine Learning
**Location:** Chandigarh | **Job Type:** Hybrid | **CTC:** INR 5.7-17.2 LPA
### Role Overview
The organisation is seeking a qualified AI Strategy Solutions Consultant to support ongoing initiatives in AI Strategy & Business Integration. The role is positioned at the mid level and reports into the broader AI Strategy & Business Integration charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai strategy & business integration.
- Apply working knowledge of Deep Learning and AI Strategy to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Deep Learning, AI Strategy, Business Integration, Python, TensorFlow/PyTorch, Feature Engineering.
### Additional Notes
The next logical step from this position is a senior or lead-track role within the same function. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. High performers in this role typically move into a broader ownership scope within 18-24 months. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role. Most days include at least one review checkpoint where progress is discussed against the plan for the week.