Logo Activesoft, Inc.

Senior Data Platform Engineer (AI/ML) - Remote but reside in DMV - Full Time(Only W2)

Activesoft, Inc.via Dice
RemotoRemotoSêniorCLT13 dias atrás

Salário Estimado

R$ 15.813,00 - R$ 23.719,00

0de 100

Regular

Score da Vaga

Descrição da Vaga

The Opportunity As AI/ML adoption accelerates, the need for robust data management has never been more critical.


We re building a new-to-market platform that orchestrates the full data lifecycle from ingestion and enrichment to discovery and dissemination.


Join us as a Software Engineer to help create the metadata hub that will enable AI/ML at scale, streamlining how organizations discover, access, use, and share data across their entire ecosystem.


What You ll Do Work alongside experienced engineers leveraging a modern tech stack.


You ll develop, test, and productize solution components that integrate relational databases, microservices, cloud services, and containerized applications.


Responsibilities • Build the data infrastructure that powers next-generation AI/ML at scale.


You ll design and optimize high-performance pipelines that ingest, transform, and deliver data across enterprise ecosystems, working with relational databases including Oracle, PostgreSQL, and MySQL. • Develop cloud-native services using NestJS and Python while leveraging AWS infrastructure (Glue, S3, Lambda, ECS/EKS).


Deploy production systems using Docker, Kubernetes, and Terraform, ensuring performance, reliability, and scalability at every layer. • Ship quality code through comprehensive testing and CI/CD workflows.


Architect data pipelines that fuel LLM training and AI workloads, enabling seamless integration across diverse datasets. • Stay current with emerging technologies, including modern data lake / lakehouse frameworks, and help define the future of enterprise data management.


Technical Foundation • 4+ years of progressive software development experience.

Proficiency with relational databases (Oracle, PostgreSQL, MySQL, etc.). • Experience with modern data lake/lakehouse technologies (Apache Iceberg, Spark, etc.).
Exposure to AWS services (Glue, S3, Lambda, EKS/ECS). • Background with Terraform for infrastructure as code.
Familiarity with workflow orchestration tools (Airflow, Step Functions, Argo, etc.). • Working knowledge of Docker and Kubernetes for containerization.
Proficiency with GitLab or similar tools for CI/CD and version control. • Experience in designing, building, and scaling AI/ML data processing systems including integrating and operationalizing LLMs in production environments.

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Informações

NívelSênior
ContratoCLT
LocalRemoto
RemotoSim
MoedaBRL
Publicada13 dias atrás
FonteDice

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