Job Description
**AI Security Implementation Specialist** | Coimbatore | Full-time | INR 8.2-30.1 LPA
**About the role:**
- Position within AI for Cybersecurity, under the Machine Learning vertical
- Level: mid level
- Reports to the functional head for AI for Cybersecurity
**What you'll do:**
- Handle core ai for cybersecurity activities on a day-to-day basis
- Use Machine Learning Algorithms 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:**
- Machine Learning Algorithms
- TensorFlow/PyTorch
- Computer Vision/NLP Basics
- Feature Engineering
- AI for Cybersecurity
- Data Preprocessing
- MLOps
- Python
- M.Tech (Machine Learning)
- 4+ years of relevant experience
**Good to know:**
- Interested candidates should be prepared to walk through relevant past work during the interview process. Learning and certification support is available for tools and frameworks directly relevant to the role.
- The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- The next logical step from this position is a senior or lead-track role within the same function. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The organisation has historically promoted from within for a majority of its senior and lead openings.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- 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.
- High performers in this role typically move into a broader ownership scope within 18-24 months. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- 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.
**About the role:**
- Position within AI for Cybersecurity, under the Machine Learning vertical
- Level: mid level
- Reports to the functional head for AI for Cybersecurity
**What you'll do:**
- Handle core ai for cybersecurity activities on a day-to-day basis
- Use Machine Learning Algorithms 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:**
- Machine Learning Algorithms
- TensorFlow/PyTorch
- Computer Vision/NLP Basics
- Feature Engineering
- AI for Cybersecurity
- Data Preprocessing
- MLOps
- Python
- M.Tech (Machine Learning)
- 4+ years of relevant experience
**Good to know:**
- Interested candidates should be prepared to walk through relevant past work during the interview process. Learning and certification support is available for tools and frameworks directly relevant to the role.
- The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- The next logical step from this position is a senior or lead-track role within the same function. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The organisation has historically promoted from within for a majority of its senior and lead openings.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- 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.
- High performers in this role typically move into a broader ownership scope within 18-24 months. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- 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.