Architect - Artificial Intelligence

Role Overview: As an AI Technical Lead or Architect, your main responsibility will be to collaborate with Business / Practice Units, Relevant Stakeholders, and Customers to understand business goals and determine AI requirements. You will design and develop AI architectures, frameworks, and algorithms to support large-scale and sophisticated AI solutions. Additionally, you will evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. Key Responsibilities: - Collaborate with Business / Practice Units, Relevant Stakeholders, and Customers to understand business goals and determine AI requirements. - Design and develop AI architectures, frameworks, and algorithms that can support large-scale and sophisticated AI solutions. - Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. - Own the development and implementation of AI models, ensuring consistency to standard processes in machine learning and deep learning. - Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes. - Conduct regular code reviews and provide technical guidance to junior members of the team. - Stay up to date with the latest advancements in AI technologies, frameworks, and algorithms, and find opportunities for their application in the organization. - Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments. - Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing. Qualification & Technical Skills: - Bachelors or masters degree in computer science, Artificial Intelligence, or a related field. - Experience working as an AI Technical Lead or Architect with working knowledge of machine learning, deep learning, and natural language processing (NLP) techniques. - Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras). - Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment. - Good understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. - Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components. - Strong communication and teamwork skills, with the ability to work effectively within multi-functional teams. - Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms. - Knowledge of ethical considerations and responsible AI practices is a plus. Role Overview: As an AI Technical Lead or Architect, your main responsibility will be to collaborate with Business / Practice Units, Relevant Stakeholders, and Customers to understand business goals and determine AI requirements. You will design and develop AI architectures, frameworks, and algorithms to support large-scale and sophisticated AI solutions. Additionally, you will evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. Key Responsibilities: - Collaborate with Business / Practice Units, Relevant Stakeholders, and Customers to understand business goals and determine AI requirements. - Design and develop AI architectures, frameworks, and algorithms that can support large-scale and sophisticated AI solutions. - Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. - Own the development and implementation of AI models, ensuring consistency to standard processes in machine learning and deep learning. - Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes. - Conduct regular code reviews and provide technical guidance to junior members of the team. - Stay up to date with the latest advancements in AI technologies, frameworks, and algorithms, and find opportunities for their application in the organization. - Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments. - Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing. Qualification & Technical Skills: - Bachelors or masters degree in computer science, Artificial Intelligence, or a related field. - Experience working as an AI Technical Lead or Architect with working knowledge of machine learning, deep learning, and natural language processing (NLP) techniques. - Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.