11+ Network Security Jobs in Coimbatore | Network Security Job openings in Coimbatore

• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

this role is for the technical trainer to train the student for the placements

you also act as a trainer cum developer for some projects

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

Strong SAP EWM Functional Consultant Profile

Mandatory (Experience 1) – Must have 6+ years of strong hands-on experience in SAP EWM (Extended Warehouse Management).

Mandatory (Experience 2) – Must have completed at least 2 end-to-end SAP EWM implementations and minimum 1 rollout project (full lifecycle exposure – Requirement Gathering to Go-Live & Hypercare).

Mandatory (Experience 3) – Strong hands-on experience in Inbound and Outbound warehouse processes, including Goods Receipt, Putaway, Picking, Packing, Staging, and Goods Issue.

Mandatory (Experience 4) – Must have strong process knowledge in O2C (Order-to-Cash), Supply Chain Management, and Warehouse Execution processes.

Mandatory (Experience 5) – Must have hands-on experience in Decentralized EWM and SAP S/4HANA Embedded EWM (Cloud-oriented landscape preferred).

Mandatory (Experience 6) – Strong integration knowledge with SAP SD (Sales & Distribution – Outbound processes) and SAP TM (Transportation Management).

Mandatory (Domain Exposure) – Candidates must have worked in Manufacturing or Supply Chain-driven environments; Automotive industry experience preferred

Company Description

Established in the year 2000, KGiSL Educational Institutions is the brainchild of Dr. Ashok Bakthavathsalam, founder and managing director of KG Information Systems Private Limited (KGISL).

Branded as the pioneers in industry-embedded education in the region, KG Group of Institutions at Saravanampatti boasts of being the only campus that fosters the perfect integration of institute – industry infrastructure in an environment of perfecting learning.

Role Description

This is a full-time on-site HR Internship role located in Coimbatore. The intern will assist in day-to-day HR operations, support the development and implementation of HR strategies and policies, and work on employee engagement initiatives. Tasks may include updating employee records, coordinating recruitment activities, organizing training sessions, and contributing to personnel management processes.

Qualifications

• Knowledge and understanding of Human Resources (HR) and HR Management
• Familiarity with HR Policies and Employee Benefits
• Skills in Personnel Management
• Strong organizational and communication abilities
• Ability to thrive in an on-site collaborative environment
• Master's program in HR mandatory

Candidates in Coimbatore are preferred

Only female Candidates are preferred

We are looking for a dedicated and dynamic individual to join our Mathematics Department as a Tutor/Assistant Professor. The ideal candidate will have a strong academic background in mathematics and a passion for teaching, mentoring, and fostering academic excellence among students.

This is a fulltime onsite trainer cum developer role. To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.