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Aws Next Gen Stats Jobs (NOW HIRING)

Photon

AWS Gen AI / ML Engineer - Plano, TX

Plano, TX · On-site +1

... next-generation predictive-automation platform. You will blend deep ML expertise with hands-on AWS ... The ideal candidate commands statistics, coding, and DevOps--and thrives on shipping secure, cost ...

Amazon

Applied Scientist II, Kiro Science

Seattle, WA · On-site

About the team The Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to re-imagine all aspects of how builders create applications. We build AI products that are ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

Machine learning development lifecycle - (Data preparation, Data visualization, Statistical ... Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV ...

Presidio

AWS Account Managers (Nationwide)

We are an AWS Premier Consulting Partner and are committed to delivering excellence in every ... With our expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen ...

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How much do aws next gen stats jobs pay per year?

As of Jun 11, 2026, the average yearly pay for aws next gen stats in the United States is $90,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in AWS Next Gen Stats roles?

Professionals in AWS Next Gen Stats often face the challenge of processing and analyzing massive volumes of real-time sports data while maintaining data accuracy and system performance. Keeping up with new AWS features and evolving best practices requires continuous learning and adaptation. Additionally, collaborating closely with data engineers, software developers, sports analysts, and clients to translate complex analytics into meaningful insights can be demanding but also rewarding. Navigating these challenges helps build a robust skill set and offers excellent growth opportunities within the fields of cloud data analytics and sports technology.

What is an AWS Next Gen Stats job?

An AWS Next Gen Stats job typically involves working with advanced analytics, machine learning, and cloud computing to analyze and interpret complex data, often in the sports and entertainment industries. This role focuses on leveraging AWS technologies to process large datasets, generate insights, and optimize performance metrics. Responsibilities may include building data pipelines, developing analytics dashboards, and collaborating with engineers and analysts to enhance decision-making. Strong skills in AWS services, data engineering, and statistical analysis are usually required.

What are the key skills and qualifications needed to thrive in the Aws Next Gen Stats position, and why are they important?

To succeed in an AWS Next Gen Stats position, you need strong expertise in AWS cloud services, data analytics, and statistical modeling, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like AWS Lambda, Amazon Redshift, Python, and relevant AWS certifications such as AWS Certified Solutions Architect are often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and interpret complex data for diverse audiences. These competencies ensure the delivery of accurate, actionable insights from large-scale sports data on robust cloud platforms.

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What cities are hiring for Aws Next Gen Stats jobs? Cities with the most Aws Next Gen Stats job openings:
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Aws Next Gen Stats jobs near you
Infographic showing various Aws Next Gen Stats job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $90,651 per year, or $43.6 per hour.
AWS Gen AI / ML Engineer - Plano, TX

AWS Gen AI / ML Engineer - Plano, TX

Photon

Plano, TX • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

AWS Gen AI / ML Engineer

We are seeking an AWS Gen AI / ML Engineer to design, deploy, and optimize cloud-native machine-learning systems that power our next-generation predictive-automation platform. You will blend deep ML expertise with hands-on AWS engineering, turning data into low-latency, high-impact insights. The ideal candidate commands statistics, coding, and DevOps—and thrives on shipping secure, cost-efficient solutions at scale.

Objectives of this role

  • Design and productionize cloud ML pipelines (SageMaker, Step Functions, EKS) that advance predictive-automation roadmap
  • Integrate foundation models via Bedrock and Anthropic LLM APIs to unlock generative-AI capabilities
  • Optimize and extend existing ML libraries / frameworks for multi-region, multi-tenant workloads
  • Partner cross-functionally with data scientists, data engineers, architects, and security teams to deliver end-to-end value
  • Detect and mitigate data-distribution drift to preserve model accuracy in real-world traffic
  • Stay current on AWS, MLOps, and generative-AI innovations; drive continuous improvement

Responsibilities

  • Transform data-science prototypes into secure, highly available AWS services; choose and tune the appropriate algorithms, container images, and instance types
  • Run automated ML tests/experiments; document metrics, cost, and latency outcomes
  • Train, retrain, and monitor models with SageMaker Pipelines, Model Registry, and CloudWatch alarms
  • Build and maintain optimized data pipelines (Glue, Kinesis, Athena, Iceberg) feeding online/offline inference
  • Collaborate with product managers to refine ML objectives and success criteria; present results to executive stakeholders
  • Extend or contribute to internal ML libraries, SDKs, and infrastructure-as-code modules (CDK / Terraform)

Skills and qualifications

  • Primary technical skills
    • AWS SDK, SageMaker, Lambda, Step Functions
    • Machine-learning theory and practice (supervised / deep learning)
    • DevOps & CI/CD (Docker, GitHub Actions, Terraform/CDK)
    • Cloud security (IAM, KMS, VPC, GuardDuty)
    • Networking fundamentals
    • Java, Springboot, JavaScript/TypeScript & API design (REST, GraphQL)
    • Linux administration and scripting
    • Bedrock & Anthropic LLM integration
  • Secondary / tool skills
    • Advanced debugging and profiling
    • Hybrid-cloud management strategies
    • Large-scale data migration
  • Impeccable analytical and problem-solving ability; strong grasp of probability, statistics, and algorithms
  • Familiarity with modern ML frameworks (PyTorch, TensorFlow, Keras)
  • Solid understanding of data structures, modeling, and software architecture
  • Excellent time-management, organizational, and documentation skills
  • Growth mindset and passion for continuous learning

Preferred qualifications

  • 10+ years of Software Experience
  • 3+ years in an ML-engineering or cloud-ML role (AWS focus)
  • Proficient in Python (core), with working knowledge of Java or R
  • Outstanding communication and collaboration skills; able to explain complex topics to non-technical peers
  • Proven record of shipping production ML systems or contributing to OSS ML projects
  • Bachelor's (or higher) in Computer Science, Data Engineering, Mathematics, or a related field
  • AWS Certified Machine Learning – Specialty and/or AWS Solutions Architect – Associate a strong plus

Compensation, Benefits and Duration

Minimum Compensation: USD 48,000Maximum Compensation: USD 168,000Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.This position is available for independent contractorsNo applications will be considered if received more than 120 days after the date of this post

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