Senior Machine Learning Architect

Role Overview: As a Senior Machine Learning Architect with over 10 years of experience, you will be responsible for utilizing generative AI and other ML techniques to design innovative solutions for challenging problems. Your role will involve collaborating with various teams to implement state-of-the-art AI/ML solutions that enhance business capabilities and delight customers. Key Responsibilities: - Collaborate with AWS Account Managers, solutions architects, and customers to define and scope AI/ML use cases. - Understand customer business problems and assist in implementing AI solutions, including generative AI. - Develop and deliver compelling technical demonstrations for business and technical leaders. - Design and architect cutting-edge AI/ML solutions to transform business capabilities. - Extract and share best practices, reference architectures, and patterns for reuse within the company. - Prototype and validate innovative AI solutions across diverse industry verticals. Qualifications Required: - 10+ years of design, implementation, or consulting experience in applications and infrastructure. - Experience using managed AI/ML services and solutions. - Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services such as SageMaker, Inference, MLOps, ETL, S3, Glue, Redshift, Athena, Bedrock, and Lake Formation. - Strong experience in applying machine learning models for business applications with a performance and cost-optimized mindset. - Strong programming skills in Python, TypeScript, Java, or related languages. - Strong understanding of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras. - Demonstrated track record of learning emerging AI/ML and Generative AI technologies. - Experience working across varied business environments including enterprises and startups. - Experience conveying complex subject matter to customers and stakeholders in written and verbal formats. - Deep understanding of generative AI technologies and large language models. - Portfolio showcasing innovative AI/ML solutions. Additional Company Details: The company values collaboration skills, exceptional communication, innovative problem-solving, adaptability, continuous learning, leadership, and mentorship. The ideal candidate should also possess certifications such as AWS Certified Solutions Architect - Associate, AWS Certified Solutions Architect - Professional, AWS Certified Developer - Associate (optional), AWS Certified Machine Learning - Specialty, AWS Certified Data Analytics - Specialty, AWS Certified AI Practitioner (optional), AWS Certified Database - Specialty (optional), and AWS Certified Security - Specialty (optional).,