Get new jobs for this search by email

Are you eager to be at the cutting edge of Machine Learning (ML) and Artificial Intelligence (AI)? Join the Amazon Web Services Professional Services (ProServe) team as a Senior Data Scientist and drive innovative AI solutions that solve real-world challenges with significant impact. As part of this dynamic team of scientists, engineers, and architects, you will create tailored solutions that leverage the full potential of AI. Your role will involve: Leading comprehensive AI/ML and GenAI projects from business needs assessment to data preparation, model development, solution deployment, and post-production monitoring. Collaborating with cross-functional teams to design, develop, evaluate AI algorithms, and build ML systems using AWS services. Engaging directly with customers to unravel their business challenges and guide them through AI adoption and implementation. Creating and delivering best practices, tutorials, publications, and sample code for various stakeholders. Providing market feedback to product and engineering teams to influence product strategies. This position involves client interaction and may require travel to customer locations. At AWS, we value diverse experiences and encourage candidates from all backgrounds to apply. Our inclusive culture promotes work-life balance, mentorship, and continuous career growth. Basic Qualifications: Master's degree in a quantitative field like computer science, machine learning, or statistics with 5+ years of experience; or Bachelor's degree with 8+ years of experience. 5+ years of experience in building machine learning models. 3+ years of hands-on experience with transformer models in production. Experience with cloud machine learning services such as Amazon SageMaker. Strong communication skills, with the ability to simplify complex technical concepts. Preferred Qualifications: PhD in a related quantitative field. AWS experience with a variety of services including SageMaker and certifications like Solutions Architect Professional. 2+ years of experience with AI agent design and orchestration. Experience in deep learning using frameworks such as PyTorch or TensorFlow. Proven record of deploying AI applications on AWS. Expertise in building ML pipelines with MLOps best practices. Amazon is committed to equal opportunity and values diversity. We welcome applications from all qualified individuals, including those with arrest and conviction records. Location: This role has specific duties that may require adherence to local laws and regulations. Compensation includes a competitive salary, equity, sign-on payments, and a comprehensive benefits package. The base pay ranges from $143,300 to $247,600 per year, depending on various factors. Apply now to contribute to groundbreaking projects and technologies that shape the future!