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AI Data Engineer

Summary

Build and deploy AI-powered applications using LLMs, vector databases, and RAG pipelines. Integrate models with APIs and scale data pipelines for large datasets.

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IT Associate Talent Specialist at Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. https://ascendion.com/

We are looking for a Sr Data Engineer with the next qualifications:

RESPONSIBILITIES

  • Building standalone applications that interact with LLM models
  • Building RAG-based applications
  • Understanding of Vector DBs like Solr for LLM based applications
  • Integrate models with existing systems and APIs.
  • Preprocess and manage data for training and deployment.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Write clean, maintainable, and efficient code.
  • Document development processes, code, and APIs.

REQUIREMENTS

  • 6+ years of experience in Data Engineering
  • Proven experience in building customer facing ML based APIs
  • Experience in developing applications that are scalable to handle TBs of data
  • Strong knowledge of API integration (RESTful, GraphQL).
  • Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.)
  • Familiarity with deployment tools (Docker, Kubernetes).
  • Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.
  • Excellent problem-solving and communication skills.
  • Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
  • Ability to work collaboratively in an agile team environment.

PREFERRED QUALIFICATIONS

- Degree in Computer Science, Data Science, or related field.

- Certifications in machine learning, data science, or cloud computing.

- Portfolio showcasing past projects or contributions to open-source projects.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Software Development

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