AI Data Engineer

Ascendion; México; Presencial; MXN 1.397.168 - 1.807.004; Jornada completa

Descripción de la vacante

Ascendion is seeking a Senior Data Engineer to develop scalable applications utilizing LLM models and handle large-scale data processing. The ideal candidate should possess over 6 years of experience in Data Engineering, with a strong emphasis on API integration and collaboration in an agile environment. This full-time role offers competitive compensation and the opportunity to innovate in a dynamic setting.

Formación

• 6+ years of experience in Data Engineering.
• Proven experience in building ML-based APIs.
• Excellent problem-solving skills.

Responsabilidades

• Building standalone applications that interact with LLM models.
• Integrate models with existing systems and APIs.
• Collaborate with cross-functional teams to define, design, and ship new features.

Conocimientos

Data Engineering

API Integration

Problem Solving

Communication

Educación

Degree in Computer Science or Data Science

Herramientas

Docker

Kubernetes

Jenkins

Terraform

SQL

NoSQL

Spark

Descripción del empleo

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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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