Job Title

Job DescriptionTechnical Project Lead – AI DevelopmentCompany: Secninjaz Technologies LLPEmployment Type: Full-TimeExperience Required: Minimum 8+ Years (3+ Years in Leadership Role)Location: IndiaAbout 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.Position SummaryThe Technical Project Lead – AI Development will lead and manage the entire AI division while ensuring successful execution of AI initiatives. This role requires strong technical expertise, strategic thinking, project management excellence, and proven leadership capability. The selected candidate will be responsible for complete ownership of AI strategy, team management, model development, training, deployment, governance, and delivery execution. The candidate must have successfully executed at least five (5) AI/ML projects end-to-end in production environments.Mandatory Experience RequirementsMinimum 8+ years of total experience in Artificial Intelligence / Machine LearningMinimum 3+ years in a leadership or project management roleSuccessfully executed at least 5 AI/ML projects from concept to productionExperience managing cross-functional AI teamsProven experience delivering enterprise-grade AI systemsStrong background in model training, deployment, and monitoringKey Responsibilities: AI Team Leadership & ManagementLead, manage, and scale the entire AI/ML departmentHire, train, and mentor AI engineers, data scientists, and ML engineersDefine technical standards, development processes, and KPIsConduct architecture reviews and performance evaluationsBuild internal AI training and capability development programsEnsure timely delivery of all AI initiativesEnd-to-End AI Project ExecutionRequirement gathering and business analysisData strategy and collectionModel architecture designModel training and hyperparameter tuningValidation and testingProduction deploymentMonitoring and optimizationAI Model Development & TrainingDesign and develop Deep Learning models (CNN, RNN, Transformers)Develop NLP and Large Language Models (LLMs)Build Generative AI applicationsCreate predictive analytics systemsDevelop anomaly and threat detection systemsHandle large-scale datasets and distributed trainingOptimize model accuracy, scalability, and efficiencyImplement retraining pipelines and performance improvement cyclesMLOps & Production DeploymentDesign and manage CI/CD pipelines for ML systemsDeploy models using Docker and KubernetesImplement model versioning and lifecycle managementMonitor model drift and implement automated retrainingEnsure high availability, scalability, and performanceAI Security & ComplianceImplement secure AI architecture aligned with Zero Trust principlesProtect AI systems against adversarial attacksEnsure compliance with ISO 27001 and data protection standardsIntegrate AI systems with SIEM, SOC, and cybersecurity platformsRequired Technical SkillsStrong expertise in PythonTensorFlow / PyTorchScikit-learnNLP, LLMs, Generative AIMLOps tools (MLflow, Kubeflow, Airflow)Docker & KubernetesCloud platforms (AWS, Azure, GCP)Experience with large-scale data processingLeadership CompetenciesStrategic AI roadmap planningStrong team-building and mentoring capabilityDecision-making and execution excellenceStrong problem-solving skillsExcellent communication and stakeholder managementAccountability & Performance ExpectationsComplete ownership of the AI departmentDelivery of AI projects within timelinesModel performance, accuracy, and reliabilityProduction stability and monitoringAI innovation aligned with Secninjaz business objectives