AI Engineer

VDart, Inc.

Raleigh, NC, United States

12 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Compensation

$47,840.0 - $56,160.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Big Data Cloud Computing Data Cleansing Extract Transform Load (ETL) DevOps Elasticsearch Apache Hadoop PostgreSQL Machine Learning

+17 more

MySQL NoSQL Open Source Technology Apache Solr SQL Databases Large Language Models Apache Spark Software Application Programming Cloudformation Kubernetes Information Technology Deployment Automation Graphql Restful APIs Terraform Docker Jenkins

Job description

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.
Implement production quality ETL jobs
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

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., * 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.

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