Solvd, Inc. Logo

Solvd, Inc.

Databricks MLOps Engineer

Posted 5 Days Ago
Remote
Hiring Remotely in Georgia, USA
Senior level
Remote
Hiring Remotely in Georgia, USA
Senior level
Design, build, and operate cloud-native MLOps platforms using Databricks and AWS. Implement IaC, scalable data pipelines, model serving and lifecycle management, integrate LLMs and RAG architectures, and drive observability, cost-efficiency, and reliability for production ML workloads while collaborating with AI and data engineering teams.
The summary above was generated by AI

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.

Similar Jobs

2 Hours Ago
Easy Apply
Remote
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Manage GitLab's global leave programs end-to-end: intake, case processing, compliance, HRIS updates, stakeholder guidance, reporting, and continuous improvement. Lead cross-functional projects, monitor regulations, and use data and AI responsibly to improve processes and member experience.
Top Skills: Ai ToolsGitlabGoogle WorkspaceHrisWorkday
2 Hours Ago
Remote
272K-368K Annually
Senior level
272K-368K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Infrastructure Software Engineer will build and optimize systems managing vast data, collaborate with teams for reliability, and handle operational issues.
Top Skills: C/C++GoJavaPython
2 Hours Ago
Easy Apply
Remote
Easy Apply
203K-303K Annually
Entry level
203K-303K Annually
Entry level
Big Data • Fintech • Mobile • Payments • Financial Services
Join the Collections backend team to design, build, and maintain scalable, highly available systems that manage delinquent loans and recovery strategies. Collaborate with product, risk, and engineering teams to implement reliable, well-tested backend solutions, debug large codebases, and contribute to team growth and operational excellence.
Top Skills: AWSKotlinKubernetesMySQLPython

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account