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Senior Platform Engineer with MLOps and Databricks

1 hour, 32 minutes ago
Romania
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
AWS AWS CDK CI/CD CloudFormation Databricks Docker LLM MLflow OpenSearch Python TypeScript
Apply Now
3Pillar Global

3Pillar Global

3Pillar Global is an innovative product development company that builds breakthrough software products to power digital businesses. They offer a range of services including product strategy, management, user experience design, and software engineering ...

Internet Software & Services
1K-5K
Founded 2006
$26M raised
View All Jobs 90

Description

  • Design, implement, and maintain cloud-native AI and data platforms, with emphasis on Databricks and AWS Bedrock.
  • Build and manage scalable data pipelines to ingest, transform, and serve data for machine learning and analytics.
  • Develop infrastructure as code using tools such as CloudFormation and AWS CDK to support repeatable, secure deployments.
  • Collaborate with AI engineers, data engineers, and platform teams to improve production model performance, reliability, and cost efficiency.
  • Drive observability best practices, including monitoring, alerting, and logging for AI platforms.
  • Contribute to the design and evolution of the AI platform to support new ML frameworks, workflows, and data types.
  • Integrate AI models and large language models into production systems, including retrieval-augmented generation use cases.
  • Stay current with emerging tools and technologies and recommend architecture and operations improvements.

Requirements

  • 7+ years of professional experience in software engineering and infrastructure engineering.
  • Extensive experience building and maintaining production AI/ML infrastructure, including model, deployment, and lifecycle management.
  • Strong knowledge of AWS and infrastructure-as-code frameworks, ideally AWS CDK.
  • Expert-level coding skills in TypeScript and Python for robust APIs and backend services.
  • Production experience with Databricks MLflow, including model registration, versioning, asset bundles, and model serving workflows.
  • Expert-level understanding of Docker and hands-on experience with CI/CD pipelines.
  • Experience with orchestration tools such as ECS is a plus.
  • Proven ability to design reliable, secure, and scalable infrastructure for real-time and batch ML workloads.
  • Strong communication skills with the ability to present findings and build rapport with clients and team members.
  • Strong collaboration skills and ability to partner effectively with cross-functional teams.
  • Familiarity with emerging LLM frameworks such as DSPy is preferred.
  • Understanding of LLM cost monitoring, latency optimization, and usage analytics in production is preferred.
  • Knowledge of vector databases or embedding stores such as OpenSearch is preferred.

Benefits

  • Flexible work environment with a remote-first approach.
  • Opportunity to work on a global team across North America, Europe, Latin America, and Asia.
  • Well-being-focused culture with fitness offerings and mental health plans, depending on country.
  • Generous time off.
  • Accelerated career growth and development opportunities across projects, offerings, and industries.
  • Equal opportunity employer with a culture of intrinsic dignity and open collaboration.

Interested in this position?

Apply directly on the company website

Apply Now

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