AI Architect

As an AI Architect in the Development department, your primary responsibility will be to design, develop, and implement artificial intelligence infrastructure within the organization. You will play a crucial role in ensuring the seamless integration of AI technology to optimize business processes and drive innovation by leveraging machine learning, data science, and related technologies. Your role will involve acting as a bridge between business needs and AI capabilities, considering ethical considerations and best practices. Your key responsibilities will include strategic planning, where you define the overall AI strategy, identify potential use cases, and business opportunities for AI implementation across various departments. You will also be responsible for architecture design, where you develop and document the technical architecture for AI systems, including data pipelines, model selection, training infrastructure, and deployment environments. Additionally, you will evaluate and choose appropriate AI tools, frameworks, and platforms based on specific project requirements and organizational needs. In terms of data management, you will oversee data collection, cleaning, labeling, and preparation for AI model training to ensure data quality and governance. Collaborating with data scientists and machine learning engineers, you will design, train, and optimize AI models, including deep learning algorithms. Your role will also involve integrating AI models into existing systems and applications, ensuring seamless functionality and scalability. Furthermore, you will monitor AI model performance in real-world scenarios, identify potential issues, and implement necessary adjustments while adhering to ethical guidelines related to data privacy, bias detection, and responsible AI development. Desired Skills for this role include a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5+ years of proven experience in big data, analytics, and data science. Previous experience as an AI engineer will be beneficial. Certification in Google Cloud AI platform, Azure AI engineer, or similar AI tools will be an added skill. You should have a deep understanding of machine learning algorithms, statistical analysis, natural language processing, computer vision, and related AI technologies. Expertise in programming languages like Python, Java, and experience with cloud computing platforms like AWS, Azure, or GCP is essential. Strong data analysis skills, including data cleaning, feature engineering, and model evaluation, are required. You should also have the ability to design and implement complex distributed systems, considering scalability and performance optimization. Understanding business needs and translating them into actionable AI solutions, as well as effective communication with both technical and non-technical stakeholders to explain complex AI concepts, are crucial aspects of this role. Additionally, you should be comfortable working for US shifts or any other shifts as per business needs.,