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Senior AI Infrastructure Specialist

2 weeks ago

Nagpur, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: AI Infrastructure Architect

We are seeking a highly skilled and experienced professional to lead the design, development, and optimization of our AI infrastructure. In this pivotal role, you will be responsible for designing and building scalable, secure, and cost-effective data solutions that leverage the power of AWS services.

Responsibilities:
  • Architect and Design: Lead the design and architecture of end-to-end data platforms and pipelines on AWS, incorporating best practices for scalability, reliability, security, and cost optimization.
  • AI Integration: Architect and implement AI solutions using AWS services like Amazon Bedrock, Amazon SageMaker, Amazon Q, and other relevant technologies.
  • Data Engineering Expertise: Design, build, and optimize ETL/ELT processes for large-scale data ingestion, transformation, and storage using AWS services such as AWS Glue, Amazon S3, Amazon Redshift, Amazon Athena, Amazon EKS and Amazon EMR.
  • Data Analytics: Design, build, and optimize analytical solutions for large-scale data ingestion, analytics and insights using AWS services such as AWS Quicksight
  • Data Governance and Security: Implement robust data governance, data quality, and security measures, ensuring compliance with relevant regulations and industry best practices for both traditional data and AI applications.
  • Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and AI workloads, ensuring efficient resource utilization and optimal response times.
  • Technical Leadership: Act as a subject matter expert and provide technical guidance to data engineers, data scientists, and other team members. Mentor and educate on AWS data and AI best practices.
  • Collaboration: Work closely with cross-functional teams, including product owners, data scientists, and business analysts, to understand requirements and deliver impactful solutions.
  • Innovation and Research: Stay up-to-date with the latest AWS services, data engineering trends, and advancements in AI, evaluating and recommending new technologies to enhance our capabilities.

Required Skills and Qualifications:
  • 12+ years of experience in data engineering, data warehousing, or big data architecture.
  • 5+ years of experience in an AWS Architect role, specifically with a focus on data.
  • Proven experience designing and implementing scalable data solutions on AWS.
  • Strong hands-on experience with core AWS data services, including Data Storage, Data Processing, Data Analytic, Data Streaming and Data Lake.
  • Strong competencies in AI, including Experience with Large Language Models (LLMs) and Foundation Models (FMs), prompt engineering and optimizing model responses.
  • Proficiency in programming languages such as Python (essential), SQL, and potentially Scala or Java.
  • Experience with MLOps/GenAIOps principles and tools for deploying and managing AI models in production.
  • Solid understanding of data modeling, data warehousing concepts, and data lake architectures.
  • Experience with CI/CD pipelines and DevOps practices on AWS.

Benefits:
- Highly competitive compensation package.
- Comprehensive health insurance and retirement plan.
- Generous paid time off policy.

How to Apply:
If you have any questions or would like to learn more about this exciting opportunity, please contact us.