Senior Machine Learning Architect

As a Senior Machine Learning Architect with over 10 years of experience, you will be involved in utilizing generative AI and other ML techniques to create and implement cutting-edge solutions for challenging problems. In this role, you will collaborate with various teams to design innovative solutions that exceed customer expectations and drive impactful projects and technologies forward in a fast-paced environment. Your responsibilities will include working closely with AWS Account Managers, solutions architects, and customers to identify and define AI/ML use cases, understanding customer business challenges, implementing AI solutions such as generative AI, and delivering technical demonstrations for both business and technical leaders. You will be tasked with designing state-of-the-art AI/ML solutions that enhance business capabilities, sharing best practices and reference architectures within the company, and prototyping and validating AI solutions across different industries. To excel in this role, you should have at least 10 years of experience in design, implementation, or consulting in applications and infrastructure, with a strong background in software development, cloud computing, systems engineering, security, networking, and data analytics. Proficiency in using managed AI/ML services and solutions, as well as a deep understanding of various AWS services like SageMaker, Inference, MLOps, and others, is essential. Your technical skills should include expertise in programming languages such as Python, TypeScript, Java, or similar, along with a solid grasp of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras. You should have a demonstrated track record of learning and applying emerging AI/ML technologies, as well as experience in conveying complex concepts to stakeholders in written and verbal formats. In addition to your technical qualifications, you should possess strong collaboration, communication, problem-solving, adaptability, leadership, and mentorship skills. Your ability to work effectively with diverse teams, convey complex AI/ML concepts to a variety of stakeholders, tackle unique challenges with innovative solutions, and stay updated with the latest trends in generative AI and machine learning will be crucial for success in this role. Moreover, holding certifications such as AWS Certified Solutions Architect - Associate and Professional, AWS Certified Developer - Associate, AWS Certified Machine Learning - Specialty, AWS Certified Data Analytics - Specialty, and others would be advantageous. Your proficiency in implementation experience, cloud computing, generative AI, AI/ML frameworks, software development, data analytics, and other relevant skills will be instrumental in driving the success of AI/ML projects and initiatives. In summary, as a Senior Machine Learning Architect, you will play a pivotal role in designing and implementing state-of-the-art AI/ML solutions that address unique business challenges, foster innovation, and drive excellence within the organization. Your technical expertise, collaboration skills, communication abilities, problem-solving acumen, adaptability, and leadership qualities will be essential in shaping the future of AI technologies and making a significant impact in the field.,