Talent.com
AWS ML Cloud Engineer

AWS ML Cloud Engineer

Tek SpikesPlano, TX, US
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Job Description

Job Description

Responsibilities :

We are seeking an AWS ML Cloud 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, turningdata 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
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    Aws Cloud Engineer • Plano, TX, US