Robots & Pencils
Robots & Pencils
51 – 200 Xodimlar
B2BSaaSSun’iy intellekt
Robots & Pencils — bizneslarga yangi paydo bo‘layotgan texnologiyalarni amaliy raqamli mahsulotlar va strategiyalarga aylantirishda yordam beradigan raqamli innovatsiyalar kompaniyasi. Uning faoliyati mobil va veb-ishlab chiqish, mahsulot dizayni, UX tadqiqotlari, sun’iy intellekt, mashinaviy o‘qitish hamda tashkiliy o‘zgarishlarni boshqarishni qamrab oladi. Kompaniya sun’iy intellekt, B2B va SaaS muhitlarida ma’lumotlarning qiymatini ochish, mahsulot innovatsiyalarini qo‘llab-quvvatlash va mijozlar uchun yanada yaxshi tajribalar yaratish uchun ijodiy muammolarni hal qilish yondashuvlarini texnik tajriba bilan birlashtiradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

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

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