Robots & Pencils
Robots & Pencils
Robots & Pencils एक डिजिटल नवाचार कंपनी है, जो व्यवसायों को उभरती प्रौद्योगिकियों को व्यावहारिक डिजिटल उत्पादों और रणनीतियों में बदलने में सहायता करती है। इसका काम मोबाइल और वेब विकास, उत्पाद डिज़ाइन, यूएक्स अनुसंधान, कृत्रिम बुद्धिमत्ता, मशीन लर्निंग और संगठनात्मक परिवर्तन प्रबंधन तक फैला हुआ है। कंपनी रचनात्मक समस्या-समाधान को तकनीकी विशेषज्ञता के साथ जोड़कर डेटा में मौजूद मूल्य को उजागर करती है, उत्पाद नवाचार को समर्थन देती है और एआई, बी2बी तथा सास परिवेशों में बेहतर ग्राहक अनुभव तैयार करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

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

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