--- title: 'Databricks MLOps Engineer at Solvd' canonical: 'https://feeny.ai/job/databricks-mlops-engineer-solvd-argentina-g00tkw9y8t2r' type: 'job' last_seen: '2026-09-10' --- # Databricks MLOps Engineer at Solvd - **Company:** Solvd - **Location:** Argentina - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-12 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/solvd/d38d10d7-23c3-46ed-9df4-61d994d3d2cf ## Job description 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. ## About Solvd ## Company Overview - **One-liner**: Solvd is an AI engineering company that builds, implements, and runs production-grade AI systems for enterprises. - **Entity Type**: Private (bootstrapped; no public funding rounds disclosed) - **Headquarters**: Walnut Creek, California, USA - **Founded**: 2011 (Roseville, California) - **Founders**: Not publicly available ## Core Business - **Primary industry**: AI engineering, enterprise AI consulting, custom AI systems, cloud & data infrastructure, agentic software engineering. - **Target customers**: Large enterprises requiring reliable, auditable, and scalable AI solutions (B2B, Enterprise). - **Mission or purpose statement**: “We build AI systems that still work when you scale.” – emphasis on responsible, human-centered AI that remains reliable in production. ## Products & Services - **[Core AI]**: Custom AI systems for computer vision, NLP, and agentic workflows, backed by a research team that won a Best Paper Award at NeurIPS 2025. - **[AI Data & Cloud]**: Data pipelines, cloud architecture, and governance systems that enable AI to run reliably at scale. - **[Agentic Software Engineering]**: Software delivery that combines deep engineering expertise with AI-native tooling to accelerate development and modernize legacy systems. Solvd also offers QA automation and digital transformation services (evolved from its 2011 origins). ## Market Standing - **Valuation / Market Cap**: Not disclosed (private company) - **Key Metric**: 750+ global team members across 10 locations (as of mid-2025); 150+ AI/ML specialists. - **Notable Investors / Partners**: Partners with Anthropic, OpenAI, Microsoft, AWS, Google Cloud, and Databricks. - **Growth Signals**: - Acquired EastBanc Technologies (October 2025) and Tooploox (June 2025) to deepen AI research and enterprise capabilities. - Published NeurIPS 2025 Best Paper (“1000 Layer Networks for Self-Supervised RL…”), co-authored by Chief Scientist Tomasz Trzciński. - Transitioned from a QA-focused firm to an AI-first global engineering company (“Solvd 2.0” launched March 2025). ## Competitive Advantages - **Research-backed engineering**: NeurIPS Best Paper demonstrates world-class AI research capability. - **Deep partnerships**: Works side-by-side with Anthropic, OpenAI, and major cloud providers to define agentic protocols. - **Production track record**: 10+ years of building and deploying AI systems that remain reliable at scale. - **Global delivery model**: 10 offices/delivery hubs across the Americas, Europe, and Georgia allowing near-shore collaboration. ## Strategic Focus - Responsible AI by design (explainability, auditability, human-in-the-loop). - Scaling enterprise AI through a combination of custom development, platform partnerships, and reusable assets. - Continued expansion via acquisitions and hiring in AI engineering, data engineering, and cloud infrastructure. ## Why Work Here - **Culture highlights**: Collaborative, people-first culture that emphasizes innovation and integrity. Employees describe a balance of forward-thinking and human relationships. - **Remote / Hybrid**: Specific policy not stated, but team works across 10 global locations (USA, Poland, Ukraine, Georgia, Brazil, Argentina, Colombia, Uruguay, Turkey, Romania). Likely hybrid or remote-friendly given the distributed model. - **Notable perks**: Access to cutting-edge AI research; opportunity to work with top AI labs (Anthropic, OpenAI); cross-location collaboration; free training initiative (Solvd.Laba). - **Engineering culture**: Strong emphasis on responsible AI, production reliability, and continuous learning. ## Sources 1. [solvd.com – Company Home](https://solvd.com/) 2. [solvd.com – About Us](https://solvd.com/about-us/) 3. [solvd.com – Careers](https://solvd.com/careers/) 4. [solvd.com – Job Openings](https://solvd.com/careers/job-openings/) 5. [linkedin.com – Solvd, Inc.](https://www.linkedin.com/company/solvdinc) ## Other roles at Solvd - [Senior Accountant](https://feeny.ai/job/senior-accountant-solvd-argentina-yqwgxe233dgz) — Argentina - [Production Support Engineer](https://feeny.ai/job/production-support-engineer-solvd-argentina-rnsg0t2ktzwc) — Argentina - [Forward Deployed Engineer – Agentic AI](https://feeny.ai/job/forward-deployed-engineer-agentic-ai-solvd-brazil-n7m5e81k5hpx) — Brazil - [Staff Database Engineer](https://feeny.ai/job/staff-database-engineer-solvd-united-states-qrq30kfzvgne) — United States - [Business Operations & GRC Coordinator](https://feeny.ai/job/business-operations-grc-coordinator-solvd-united-states-rgpj9rrhactq) — United States - [Business Operations & GRC Coordinator](https://feeny.ai/job/business-operations-grc-coordinator-solvd-argentina-xebbphnkt8xm) — Argentina - [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-solvd-argentina-bfr31kf4cmyk) — Argentina - [Senior Full-Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-solvd-argentina-jcenscst2b8n) — Argentina - [Full-Stack Engineer](https://feeny.ai/job/full-stack-engineer-solvd-argentina-xvc0z41x5q0n) — Argentina - [Enterprise Account Executive — AI for Ecommerce & Financial Services](https://feeny.ai/job/enterprise-account-executive-ai-for-ecommerce-financial-services-solvd-united-rx9jm3tsf35b) — United States