Machine Learning Solution Engineer at Mercedes-Benz Tech Innovation
Berlin, Germany
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Summary
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Senior
Andrey Pozolotin is a Machine Learning Solution Engineer based in Berlin with over a decade of hands-on experience designing cloud-native, production-grade AI and backend systems. He architects and implements application gateways and LLM-driven agents that integrate Gemini, OpenAI, Anthropic, HuggingFace and Azure Foundry models into enterprise environments, with practical expertise in streaming completions, RAG, prompt engineering, fine-tuning and multi-agent MCP designs. Comfortable leading medium-sized teams, he pairs deep software-architecture and DevOps skills (Kubernetes, Terraform, ArgoCD, Helm) with real-time FinOps-aware model routing, quota management and content filtering. His background spans embedded Go systems, scalable microservices and secure enterprise CVAT/CV pipelines, reflecting a pattern of turning research-grade models into robust, auditable production features. Notably, he has built non-fork OIDC integrations and custom ingress/auth solutions for enterprise CVAT deployments and implemented cross-region failover and pay-as-you-go model balancing—bringing operational nuance that many ML projects miss.
Contributions:47 releases, 1 review, 136 commits in 10 months
command-line-interfacecli
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