Artificial Intelligence Architect

Responsibilities : - Develop and execute a long-term AI strategy aligned with the company's overall business objectives. - Design and implement robust and scalable AI architectures, including data pipelines, machine learning models, and deployment strategies. - Evaluate and select appropriate AI technologies, frameworks, and tools to optimize performance and cost-effectiveness. - Oversee the development and training of advanced machine learning models, such as deep neural networks and reinforcement learning algorithms. - Collaborate with data engineers to ensure the availability, quality, and security of data for AI initiatives. - Lead and mentor a team of AI engineers and data scientists, fostering a culture of innovation and excellence. - Work closely with cross-functional teams, including product managers, software engineers, and business analysts, to translate business requirements into technical solutions. - Adhere to ethical guidelines and regulations related to AI development and deployment, ensuring responsible and fair AI practices. - Stay up-to-date with the latest advancements in AI and machine learning, and identify opportunities to apply these technologies to solve complex business : - 8-12 years of experience in AI, machine learning, or related fields. - Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and statistical modeling techniques. - Proficiency in cloud platforms (AWS, Azure, GCP) and cloud-native technologies. - Strong knowledge of data engineering principles, including data pipelines, data warehousing, and data lakes. - Excellent problem-solving and analytical skills to identify and address challenges in AI projects. - Strong communication and presentation skills to effectively convey technical concepts to both technical and non-technical audiences. - Proven leadership abilities to inspire and motivate teams. - Advanced degree in computer science, data science, or a related field. Desired Skills : - Experience with MLOps and DevOps practices. - Knowledge of natural language processing (NLP), computer vision, and reinforcement learning. - Familiarity with AI ethics and bias mitigation techniques. - Experience with AI governance and regulatory compliance. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/24/2024