Tech Lead Artificial Intelligence

As a Technical Project Lead - AI Development at Secninjaz Technologies LLP, you will play a crucial role in leading and managing the AI division to ensure successful execution of AI initiatives. Your responsibilities will include owning the AI strategy, managing the team, developing models, training, deployment, and ensuring delivery excellence. To excel in this role, you are required to have a minimum of 8+ years of experience in Artificial Intelligence/Machine Learning, with at least 3+ years in a leadership or project management role. You should have successfully executed at least 5 AI/ML projects from concept to production environments. 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 KPIs - Conduct architecture reviews and performance evaluations - Build internal AI training and capability development programs - Ensure timely delivery of all AI initiatives - End-to-End AI Project Execution - Requirement gathering and business analysis - Data strategy and collection - Model architecture design - Model training and hyperparameter tuning - Validation 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 Skills: - Strong expertise in Python - TensorFlow / PyTorch - Scikit-learn - NLP, LLMs, Generative AI - MLOps tools (MLflow, Kubeflow, Airflow) - 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 skills - Excellent communication and stakeholder management Accountability & Performance Expectations: - Complete ownership of the AI department - Delivery of AI projects within timelines - Model performance, accuracy, and reliability - Production stability and monitoring - AI innovation aligned with Secninjaz business objectives This role at Secninjaz Technologies LLP offers you the opportunity to lead a dedicated AI division and contribute to the development of next-generation intelligent security systems. As a Technical Project Lead - AI Development at Secninjaz Technologies LLP, you will play a crucial role in leading and managing the AI division to ensure successful execution of AI initiatives. Your responsibilities will include owning the AI strategy, managing the team, developing models, training, deployment, and ensuring delivery excellence. To excel in this role, you are required to have a minimum of 8+ years of experience in Artificial Intelligence/Machine Learning, with at least 3+ years in a leadership or project management role. You should have successfully executed at least 5 AI/ML projects from concept to production environments. 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 KPIs - Conduct architecture reviews and performance evaluations - Build internal AI training and capability development programs - Ensure timely delivery of all AI initiatives - End-to-End AI Project Execution - Requirement gathering and business analysis - Data strategy and collection - Model architecture design - Model training and hyperparameter tuning - Validation 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 sy