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Senior Data Scientist - AWS Professional Services

Senior Data Scientist - AWS Professional Services

AmazonChicago, IL, United States
16 hours ago
Job type
  • Full-time
Job description

Overview

Are you excited to be at the cutting edge of Machine Learning (ML) and Artificial Intelligence (AI)? We at Amazon Web Services Professional Services (ProServe) are in search of a talented Senior Data Scientist who can guide customers in implementing transformative AI / ML solutions.

Join a dynamic team of scientists, engineers, and architects who collaborate closely with clients to conceptualize and build tailored AI solutions. We help customers identify relevant use cases, select the appropriate models, resolve technical or business challenges, and ensure the deployment of scalable applications. We are dedicated to applying AI responsibly while helping businesses achieve their goals efficiently.

In this role, you will engage directly with clients and drive innovative projects in a fast-paced environment that changes the landscape of technology. You will design experiments, delve into new algorithms, and uncover techniques to enhance risk management, profitability, and customer experiences. We are seeking Senior Data Scientists who can leverage AI / ML to craft and implement groundbreaking solutions to complex problems.

Key Responsibilities

  • Lead comprehensive AI / ML and GenAI projects, guiding clients from business need identification through data preparation, model development, deployment, and ongoing evaluation.
  • Collaborate with a team of AI / ML scientists, engineers, and architects to conceptualize, develop, and assess AI algorithms that address real-world challenges using AWS services.
  • Engage with customers to comprehend their business obstacles, deliver in-depth briefings, and advise on effective adoption strategies.
  • Create and share best practices, tutorials, blog posts, and technical presentations targeted at technical, business, and executive audiences.
  • Provide constructive feedback to product teams based on customer interactions to inform product direction.

This role involves direct customer interaction, with potential travel required to client sites.

Basic Qualifications

  • Master's degree in computer science, machine learning, statistics, mathematics, or a related field with 5+ years of relevant experience; or a bachelor's degree with 8+ years of relevant experience.
  • 5+ years of practical experience in building machine learning models for business applications.
  • 3+ years of hands-on experience in training, fine-tuning, and deploying transformer models in production.
  • Familiarity with cloud-based machine learning services (e.g., Amazon SageMaker) and generative AI applications.
  • Strong communication skills with a knack for conveying complex technical concepts to non-expert audiences, complemented by experience in technical customer-facing roles.
  • Preferred Qualifications

  • PhD in computer science, machine learning, statistics, or a related field.
  • Experience with AWS services (e.g., SageMaker, Bedrock) and holding relevant certifications like Solutions Architect Professional.
  • 2+ years of expertise in designing and evaluating AI agents and orchestration methods, with familiarity in open-source frameworks such as LangChain or LlamaIndex.
  • 5+ years of experience in deep learning, human-robot interaction, and algorithm implementation using PyTorch or TensorFlow.
  • Proven track record of launching AI applications in AWS production environments.
  • Experience building ML pipelines adhering to MLOps best practices, including data preprocessing, model monitoring, and utilizing container and CI / CD methodologies.
  • Amazon is an equal opportunity employer and does not discriminate based on veteran status, disability, or any other legally protected status.

    Our inclusive culture ensures that all employees strive for excellence in serving our customers. If you require accommodation during the application and hiring process, please refer to the Amazon jobs accommodations page for further information.

    The compensation for this position ranges from $143,300 / year in our lowest geographic market to $247,600 / year in our highest geographic market. Pay varies based on location, job-related knowledge, skills, and experience. This position will remain open until filled. Interested candidates should apply through our career site.

    Company : Amazon Web Services, Inc. | Job ID : A3087563

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