Job Description
**AI Marketing Process Specialist** | Noida | Contract | INR 15.9-43.0 LPA
**About the role:**
- Position within AI-driven Marketing, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI-driven Marketing
**What you'll do:**
- Handle core ai-driven marketing activities on a day-to-day basis
- Use Deep Learning regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Deep Learning
- Neural Network Architectures
- Python
- driven Marketing
- Cloud Platforms (AWS/GCP/Azure)
- TensorFlow/PyTorch
- Model Deployment (MLOps)
- Statistical Modelling
- M.Sc (Data Science)
- 4+ years of relevant experience
**Good to know:**
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- Interested candidates should be prepared to walk through relevant past work during the interview process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. 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 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**About the role:**
- Position within AI-driven Marketing, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI-driven Marketing
**What you'll do:**
- Handle core ai-driven marketing activities on a day-to-day basis
- Use Deep Learning regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Deep Learning
- Neural Network Architectures
- Python
- driven Marketing
- Cloud Platforms (AWS/GCP/Azure)
- TensorFlow/PyTorch
- Model Deployment (MLOps)
- Statistical Modelling
- M.Sc (Data Science)
- 4+ years of relevant experience
**Good to know:**
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- Interested candidates should be prepared to walk through relevant past work during the interview process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. 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 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.