Technical Architect

Required Skills and Qualifications Bachelors/Master’s degree in Computer Science, Information Technology, or a related field. Proven experience as a Solution Architect or a similar role. Expertise in programming languages and frameworks: Java, Angular, Python, C++ Proficiency in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience in deploying AI models in production, including optimizing for performance and scalability. Understanding of deep learning, NLP, computer vision, or generative AI techniques. Hands-on experience with model fine-tuning, transfer learning, and hyperparameter optimization. Strong knowledge of enterprise architecture frameworks (TOGAF, Zachman, etc.). Expertise in distributed systems, microservices, and cloud-native architectures. Experience in API design, data pipelines, and integration of AI services within existing systems. Strong knowledge of databases: MongoDB, SQL, NoSQL. Proficiency in working with large-scale datasets, data wrangling, and ETL pipelines. Hands-on experience with CI/CD pipelines for AI development. Version control systems like Git and experience with ML lifecycle tools such as MLflow or DVC. Proven track record of leading AI-driven projects from ideation to deployment. Hands-on experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Familiarity with Agile methodologies, especially POD-based execution models. Strong problem-solving skills and ability to design scalable solutions. Excellent communication skills to articulate technical solutions to stakeholders. Preferred Qualifications Experience in e-commerce, Adtech or OOH (Out-of-Home) advertising technology. Knowledge of tools like Jira, Confluence, and Agile frameworks like Scrum or Kanban. Certification in cloud technologies (e.g., AWS Solutions Architect).