Artificial Intelligence Architect

Job Description : As an AI Architect, you will play a pivotal role in designing and implementing cutting-edge AI solutions that drive innovation and improve business processes. You will lead the development of AI models and systems, ensuring they align with business objectives and technical requirements. Key Responsibilities : - Architecture Design: Define and design the architecture for AI solutions, ensuring scalability, performance, and security. - Model Development: Lead the development and deployment of machine learning models, natural language processing systems, and large language models (LLMs). - Technical Leadership: Provide technical direction to teams in the implementation of AI/ML/NLP projects, mentoring engineers and data scientists. - Research and Innovation: Stay updated on the latest advancements in AI technologies and frameworks, identifying opportunities for innovation and improvement. - Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to gather requirements and deliver integrated solutions. - Data Strategy: Develop strategies for data acquisition, preprocessing, and management to support AI initiatives, ensuring high data quality and accessibility. - Performance Optimization: Monitor and optimize the performance of AI models and systems, implementing improvements based on feedback and analytics. - Documentation: Maintain comprehensive documentation of architecture, design decisions, and project progress for internal and external stakeholders. - Stakeholder Engagement: Communicate complex AI concepts and solutions to technical and non-technical stakeholders, ensuring alignment with business goals. Key Skills : - Extensive experience in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Strong knowledge of natural language processing (NLP) techniques and libraries (e.g., NLTK, SpaCy). - Experience with large language models (LLMs) and their applications in real-world scenarios. - Proficient in programming languages such as Python, Java, or R. - Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions. Qualifications : - Master's or Ph.D. in Computer Science, Data Science, or a related field. - 10 to 15 years of experience in AI architecture and implementation, with a proven track record of successful AI projects. Benefits : - Competitive salary and performance-based bonuses. - Opportunities for professional development and growth within the organization. - A collaborative and innovative work environment. (ref:hirist.tech)

Location: chennai, IN

Posted Date: 11/24/2024