Tech Lead Artificial Intelligence

Job Description

Technical Project Lead A

ICompany: Secninjaz Technologies LL

PEmployment Type: Full-Tim

eExperience Required: Minimum 8+ Years (3+ Years in Leadership Role

)Location: Indi

a

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 syste

ms.
Position Sum

maryThe 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 environme

nts.
Mandatory Experience Require

• mentsMinimum 8+ years of total experience in Artificial Intelligence / Machine Lea
• rningMinimum 3+ years in a leadership or project management
• roleSuccessfully executed at least 5 AI/ML projects from concept to produ
• ctionExperience managing cross-functional AI
• teamsProven experience delivering enterprise-grade AI sy
• stemsStrong background in model training, deployment, and monit

oring
Key Responsibili

ties:
AI Team Leadership & Man

• agementLead, manage, and scale the entire AI/ML dep
• artmentHire, train, and mentor AI engineers, data scientists, and ML en
• gineersDefine technical standards, development processes, a
• nd KPIsConduct architecture reviews and performance eval
• uationsBuild internal AI training and capability development p
• rogramsEnsure timely delivery of all AI init

iativesEnd-to-End AI Project Ex

• ecutionRequirement gathering and business a
• nalysisData strategy and col
• lectionModel architecture
• designModel training and hyperparameter
• tuningValidation and
• testingProduction dep
• loymentMonitoring and optim

izationAI Model Development & T

• rainingDesign and develop Deep Learning models (CNN, RNN, Transf
• ormers)Develop NLP and Large Language Models
• (LLMs)Build Generative AI appli
• cationsCreate predictive analytics
• systemsDevelop anomaly and threat detection
• systemsHandle large-scale datasets and distributed t
• rainingOptimize model accuracy, scalability, and eff
• iciencyImplement retraining pipelines and performance improvement

cyclesMLOps & Production Dep

• loymentDesign and manage CI/CD pipelines for ML
• systemsDeploy models using Docker and Kub
• ernetesImplement model versioning and lifecycle man
• agementMonitor model drift and implement automated ret
• rainingEnsure high availability, scalability, and perf

ormanceAI Security & Com

• plianceImplement secure AI architecture aligned with Zero Trust pri
• nciplesProtect AI systems against adversarial
• attacksEnsure compliance with ISO 27001 and data protection st
• andardsIntegrate AI systems with SIEM, SOC, and cybersecurity pl

atforms
Required Technica

• l SkillsStrong expertise i
• n PythonTensorFlow /
• PyTorchScik
• it-learnNLP, LLMs, Gener
• ative AIMLOps tools (MLflow, Kubeflow,
• Airflow)Docker & Ku
• bernetesCloud platforms (AWS, Azu
• re, GCP)Experience with large-scale data pr

ocessing
Leadership Com

• petenciesStrategic AI roadmap
• planningStrong team-building and mentoring c
• apabilityDecision-making and execution e
• xcellenceStrong problem-solvi
• ng skillsExcellent communication and stakeholder m

anagement
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