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Databricks MLOps Engineer

solvd · Remote, Argentina

Senior LevelRemoteExternal listingfull-time2 days ago

About The Role

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are looking for a Databricks MLOps Engineer to design, build, and operate cloud-native infrastructure that powers AI and data workloads at scale. You'll work at the intersection of platform engineering and AI — building the pipelines, deployment workflows, and observability layers that make machine learning models reliable, cost-efficient, and production-ready.

This is a hands-on engineering role. You'll be writing infrastructure-as-code, building data pipelines, integrating LLMs into production systems, and collaborating closely with AI and data engineers to keep the platform performing as the workloads grow.

WHAT YOU'LL DO

  • Design, implement, and maintain a cloud-native platform to support AI and data workloads, with a focus on Databricks and AWS Bedrock.
  • Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics use cases.
  • Develop infrastructure-as-code using CloudFormation and AWS CDK to ensure repeatable, secure deployments.
  • Integrate AI models and LLMs into production systems, including RAG architectures and model serving workflows.
  • Drive observability best practices — monitoring, alerting, and logging across AI platforms.
  • Collaborate with AI engineers, data engineers, and platform teams to improve performance, reliability, and cost-efficiency of models in production.
  • Contribute to the design and evolution of the AI platform to support new ML frameworks, workflows, and data types.
  • Stay current with emerging tooling and recommend improvements to architecture and operations.

BASIC QUALIFICATIONS

  • 7+ years of professional experience in software and infrastructure engineering.
  • Extensive experience building and maintaining AI/ML infrastructure in production — model deployment, lifecycle management, and serving workflows.
  • Production-level experience with Databricks and MLflow — model registration, versioning, asset bundles, and serving.
  • Strong knowledge of AWS and infrastructure-as-code, with AWS CDK experience specifically.
  • Expert-level coding skills in both Python and TypeScript — building robust APIs and backend services.
  • Strong understanding of containerization with Docker and hands-on CI/CD pipeline experience.
  • Proven ability to design reliable, secure, and scalable infrastructure for real-time and batch ML workloads.
  • Strong communication and collaboration skills — able to articulate technical decisions clearly to both engineering and non-technical stakeholders.

PREFERRED QUALIFICATIONS

  • Familiarity with DSPy or similar LLM orchestration frameworks for programmatic prompt pipelines.
  • Experience with LLM cost monitoring, latency optimization, and usage analytics in production.
  • Knowledge of vector databases and embedding stores — OpenSearch or similar — to support semantic search and RAG architectures.
  • Experience with ECS or other container orchestration tools.

When you join Solvd, you'll…

  • Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
  • Be part of a global team with equal opportunities for collaboration across continents and cultures.
  • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
  • Ready to make an impact?
  • If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
  • Solvd is an equal opportunity employer.

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