Lead – Artificial Intelligence

Job Description

Technical Project Lead AI

Company: Secninjaz Technologies LLP

Employment Type: Full-Time

Experience Required: Minimum 8 Years (3 Years in Leadership Role)

Location: India

About Secninjaz Technologies

LLPSecninjaz Technologies LLP is an ISO 27001-certified cybersecurity company delivering advanced security solutions across fintech healthcare government corporate and intelligence sectors. Our services include VAPT SIEM Zero Trust Architecture Cloud Security Fintech Security Secure Communication Systems and Enterprise Cyber Defense. As part of our expansion into AI-driven cybersecurity solutions we are establishing a dedicated AI division to build next-generation intelligent security systems

Mandatory Experience Requirements

• Minimum 8 years of total experience in Artificial Intelligence / Machine Learning
• Minimum 3 years in a leadership or project management role
• Successfully executed at least 5 AI/ML projects from concept to production
• Experience managing cross-functional AI teams
• Proven experience delivering enterprise-grade AI systems
• Strong background in model training deployment and monitoring

Key Responsibilities:

AI Team Leadership & Management

• Lead manage and scale the entire AI/ML department
  
• Hire train and mentor AI engineers data scientists and ML engineers
  
• Define technical standards development processes and
• KPIsConduct architecture reviews and performance evaluations
  
• Build internal AI training and capability development programs
  
• Ensure timely delivery of all AI init
  

iativesEnd-to-End AI Project Execution

• Requirement gathering and business analysis
  
• Data strategy and collection
  
• Model architecture design
• Model training and hyperparameter
  
• tuningValidation and testing
• Production deployment
  
• Monitoring and optimization

AI Model Development & Training

• Design and develop Deep Learning models (CNN RNN Transformers)
  
• Develop NLP and Large Language Models(LLMs)
  
• Build Generative AI applications
  
• Create predictive analytics systems
• Develop anomaly and threat detection systems
• Handle large-scale datasets and distributed training
  
• Optimize model accuracy scalability and efficiency
  
• Implement retraining pipelines and performance improvement cycles

MLOps & Production Deployment

• Design and manage CI/CD pipelines for ML systems
  
• Deploy models using Docker and Kubernetes
  
• Implement model versioning and lifecycle management
  
• Monitor model drift and implement automated retraining
  
• Ensure high availability scalability and performance
  

AI Security & Compliance

• Implement secure AI architecture aligned with Zero Trust principles
  
• Protect AI systems against adversarial attacks
• Ensure compliance with ISO 27001 and data protection standards
  
• Integrate AI systems with SIEM SOC and cybersecurity platforms
  

Required Technical

• SkillsStrong expertise in
  
• PythonTensorFlow /Py
  
• TorchScikit-learn
  
• NLP LLMs Generative
  
• AIMLOps tools (MLflow KubeflowAirflow)
  
• Docker & Kubernetes
  
• Cloud platforms (AWS Azure GCP)
  
• Experience with large-scale data processing
  

Leadership Competencies

• Strategic AI roadmap planning
  
• Strong team-building and mentoring capability
  
• Decision-making and execution excellence
  
• Strong problem-solving
  
• skillsExcellent communication and stakeholder management
  

Accountability & Performance Ex

• pectationsComplete ownership of the AI
  
• departmentDelivery of AI projects within
  
• timelinesModel performance accuracy and r
  
• eliabilityProduction stability and
  
• monitoringAI innovation aligned with Secninjaz business