Amazon
Data Scientist, AWS Professional Services
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Data Scientist, AWS Professional Services
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Amazon Web Services (AWS) Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities. This is a team of scientists, engineers, and architects working with customers to build bespoke AI-powered solutions. You will help customers imagine and scope use cases, select and train models, define paths to production, develop scalable solutions, and launch them in production, while applying best practices for responsible and cost-efficient AI. You will work directly with customers in a fast-paced environment to design experiments, research new algorithms, and optimize risk, profitability, and customer experience. We are looking for Data Scientists who can use AI/ML and related techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities
Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges Interact with customers directly to understand business challenges, deliver briefing and deep-dive sessions, and guide adoption patterns and paths to production Create and deliver best-practice recommendations, tutorials, blog posts, publications, sample code, and presentations for technical, business, and executive stakeholders Provide customer and market feedback to product and engineering teams to help define product direction This is a customer-facing role with potential travel to customer sites as needed. Basic Qualifications
Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field 3+ years of building machine learning models for business applications including predictive modeling, natural language processing, and deep learning 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production 2+ years of experience with cloud services related to machine learning (e.g., Amazon SageMaker) and coding with Python or R, using modern ML libraries and tools (scikit-learn, TensorFlow, PyTorch) Experience with technical customer-facing engagements Preferred Qualifications
PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent AWS experience with a range of services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, VPC) and professional certifications (e.g., Solutions Architect Professional) 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration; experience with open-source frameworks like LangChain, LangGraph, LlamaIndex, or similar tools 5+ years of deep learning, computer vision, HRI, algorithms implementation with PyTorch or TensorFlow Experience launching AI applications in production on AWS Experience building ML pipelines with MLOps best practices, including data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with containers and CI/CD Strong communication skills, with ability to convey rigorous technical concepts to non-experts Amazon is an equal opportunity employer and does not discriminate on the basis of protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation during the application and/hiring process, including support for the interview or onboarding, please visit our accommodations page for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year to $212,800/year, depending on location and experience. Amazon is a total compensation company with potential equity, sign-on and other benefits as part of the package. This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr
Join to apply for the
Data Scientist, AWS Professional Services
role at
Amazon Web Services (AWS) Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities. This is a team of scientists, engineers, and architects working with customers to build bespoke AI-powered solutions. You will help customers imagine and scope use cases, select and train models, define paths to production, develop scalable solutions, and launch them in production, while applying best practices for responsible and cost-efficient AI. You will work directly with customers in a fast-paced environment to design experiments, research new algorithms, and optimize risk, profitability, and customer experience. We are looking for Data Scientists who can use AI/ML and related techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities
Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges Interact with customers directly to understand business challenges, deliver briefing and deep-dive sessions, and guide adoption patterns and paths to production Create and deliver best-practice recommendations, tutorials, blog posts, publications, sample code, and presentations for technical, business, and executive stakeholders Provide customer and market feedback to product and engineering teams to help define product direction This is a customer-facing role with potential travel to customer sites as needed. Basic Qualifications
Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field 3+ years of building machine learning models for business applications including predictive modeling, natural language processing, and deep learning 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production 2+ years of experience with cloud services related to machine learning (e.g., Amazon SageMaker) and coding with Python or R, using modern ML libraries and tools (scikit-learn, TensorFlow, PyTorch) Experience with technical customer-facing engagements Preferred Qualifications
PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent AWS experience with a range of services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, VPC) and professional certifications (e.g., Solutions Architect Professional) 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration; experience with open-source frameworks like LangChain, LangGraph, LlamaIndex, or similar tools 5+ years of deep learning, computer vision, HRI, algorithms implementation with PyTorch or TensorFlow Experience launching AI applications in production on AWS Experience building ML pipelines with MLOps best practices, including data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with containers and CI/CD Strong communication skills, with ability to convey rigorous technical concepts to non-experts Amazon is an equal opportunity employer and does not discriminate on the basis of protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation during the application and/hiring process, including support for the interview or onboarding, please visit our accommodations page for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year to $212,800/year, depending on location and experience. Amazon is a total compensation company with potential equity, sign-on and other benefits as part of the package. This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr