ironquill.tech/board

$ cat jobs/principal-engineer-technical-architect-nagarro1-19d574b43043.json

Principal Engineer, Technical Architect

Nagarro1·Worldwide·Remote·senior
pythonjava.netmysqlsqldockerkubernetespandasnumpymlllmnlp
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👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience: 13+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Should have strong experience in AI/ML solution design, translate business use-cases into AI approach (LLM vs classical ML), define success metrics, evaluation plans, and end-to-end architecture (data, model, serving). Must have experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure. Proficiency in programming languages such as Python, Dotnet, JAVA, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Must have experience in cloud & deployment, scalable inference (batch/real-time), GPUs basics, cost/latency tradeoffs, security/privacy (PII), access control, and compliant data handling. Should have experience in large scale system design, API-first design, frontend & backend programming, and mentoring teams on best practices. Should have experience in database like sql, mysql, oracle. Should have understanding of MLOps and at least one deployment using some of the following technologies: MLflow, Kubeflow, Docker, Kubernetes, model deployment pipelines. Should have designed, developed, and deployed a few AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration. Strong understanding of LLMs and foundation models with an ex

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