Robots & Pencils
Robots & Pencils
51 – 200 Қызметкерлер
B2BSaaSЖасанды интеллект
Robots & Pencils — бизнеске жаңа пайда болып жатқан технологияларды практикалық цифрлық өнімдер мен стратегияларға айналдыруға көмектесетін цифрлық инновациялар компаниясы. Оның қызметі мобильді және веб-әзірлеуді, өнім дизайнын, UX зерттеулерін, жасанды интеллектіні, машиналық оқытуды және ұйымдық өзгерістерді басқаруды қамтиды. Компания жасанды интеллект, B2B және SaaS орталарында деректердің құндылығын ашу, өнім инновациясын қолдау және тұтынушылардың әсерлі тәжірибесін қалыптастыру үшін шығармашылық мәселе шешу тәсілдерін техникалық сараптамамен ұштастырады.

Senior Data Engineer – AWS AI/ML (Remote, United States)

Build and operate AWS data platforms, observability systems, and AI/ML infrastructure for production enterprise solutions. Work with AWS Professional Services and client teams to deliver reliable, scalable systems and enable agent-based applications.

Сипаттама

  • Design, deploy, and optimize AWS data and AI/ML systems, including data lakes, observability, reliability, and cost controls
  • Operate production platforms by monitoring drift, resolving issues, and improving scalability and dependability
  • Apply AI-assisted development tools such as Claude and Cursor to improve delivery quality
  • Collaborate with AWS Professional Services, client engineering teams, and data specialists
  • Explain technical behavior, tradeoffs, and constraints clearly to non-technical stakeholders
  • Contribute to peer reviews and technical design sessions
  • Help shape data and AI architecture decisions
  • Lead substantial work from inception through delivery while mentoring junior engineers

Талаптар

  • At least five years of professional software or data engineering experience, including two or more years building production data platforms or AI/ML systems on AWS
  • Strong software engineering skills in Python and SQL or comparable languages
  • AWS Certified Data Engineer – Associate certification, or a clear near-term plan to obtain it
  • Practical experience creating AWS data lakes with S3, Lake Formation, Glue, Athena, and Iceberg or Parquet
  • Familiarity with streaming technologies such as Kinesis or MSK
  • Experience observing distributed and AI systems using tools including CloudWatch, X-Ray, OpenTelemetry or ADOT, Amazon Managed Service for Prometheus, Grafana, and SageMaker Model Monitor
  • Working knowledge of AWS agent-enablement services and patterns, including Bedrock Knowledge Bases, Guardrails, RAG, and Bedrock Agents
  • Track record of deploying agentic or machine learning systems to production
  • Experience with MLOps and LLMOps, including model and agent evaluation, deployment, and monitoring
  • Experience using AWS CDK for infrastructure as code and implementing CI/CD for data and AI systems
  • Understanding of IAM, KMS, data governance, responsible AI, and personally identifiable information handling
  • Experience optimizing costs across storage, queries, compute, and model usage
  • Experience delivering consulting or professional services solutions with client and partner teams
  • Daily hands-on use and working knowledge of AI-assisted coding tools such as Claude Code and Cursor
  • Strong problem-solving ability and sound judgment when handling ambiguous technical challenges

Артықшылықтар

  • Paid time off
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k) retirement plan

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