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About the role
Senior Technologist - AI/GenAI-Q1-2026(Regular) # Deep Programming Skills: Python, Java, SpringBoot, SQLbr # AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn (hands-on coding) # GenAI Agentic Application design, Implementation # Production ML model deployment and monitoring # Real-time inference systems and distributed computing # API design and microservices architecture # Data pipeline architecture and stream processing # MLOPs/LLMOps exposure # 2+ years GenAI/LLM hands-on experience (critical differentiator) # Production AI system deployment experience # Understanding of AI ethics and responsible AI practices # Data visualization and analytics capabilities # AI/GenAI Application Development and deployment # Model Implementation, fine-tuning, and optimization # Technical Innovation and emerging technology evaluation # Production AI System Deployment and maintenance # Elaborate Technical Documentation and knowledge sharing # Cross-functional Collaboration with data science and product teams # Research & Development of cutting-edge AI capabilities # Problem Solving for complex production AI issues Senior Technologist - AI/GenAI-Q1-2026(Regular) # Deep Programming Skills: Python, Java, SpringBoot, SQLbr # AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn (hands-on coding) # GenAI Agentic Application design, Implementation # Production ML model deployment and monitoring # Real-time inference systems and distributed computing # API design and microservices architecture # Data pipeline architecture and stream processing # MLOPs/LLMOps exposure # 2+ years GenAI/LLM hands-on experience (critical differentiator) # Production AI system deployment experience # Understanding of AI ethics and responsible AI practices # Data visualization and analytics capabilities # AI/GenAI Application Development and deployment # Model Implementation, fine-tuning, and optimization # Technical Innovation and emerging technology evaluation # Production AI System Deployment and maintenance # Elaborate Technical Documentation and knowledge sharing # Cross-functional Collaboration with data science and product teams # Research & Development of cutting-edge AI capabilities # Problem Solving for complex production AI issues
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