Mlops Consultant Architect

4 tygodni temu

Wrocław, dolnośląskie, Polska Square One Pełny etat 26 zł - 880 zł

We’re seeking a hands-on ML/AIOps Consultant to help define and implement our machine learning and AI operations strategy. The consultant will play a key role in designing the architecture, frameworks, and processes that enable scalable, production-grade ML and AI systems — spanning classical ML, GenAI, and agentic AI scenarios.


Core Responsibilities

  • Develop and operationalize the ML/AIOps strategy, architecture, and framework

  • Define end-to-end strategy covering classical ML, Generative AI, and Agentic AI

  • Assess existing ML/AI processes, perform gap analyses, and recommend improvements

  • Design and implement monitoring, automation, and CI/CD pipelines for ML models

  • Contribute to model governance, observability, and lifecycle management

  • Produce clear documentation, reusable assets, and best practices

  • Collaborate with the Data Scientist in Riga and other business teams (some travel expected)


Must-Have Skills

  • Proven hands-on MLOps experience in production environments

  • Strong knowledge of ML pipeline orchestration, e.g., Kubeflow, MLflow, Vertex AI, SageMaker, or similar

  • Deep understanding of model deployment, monitoring, retraining, and drift detection

  • Experience with containerized and cloud-native infrastructure (Docker, Kubernetes)

  • Proficiency in Python, Git, CI/CD, and infrastructure-as-code tools

  • Familiarity with GenAI and LLMOps frameworks (LangChain, Weaviate, vector DBs, etc.)

  • Ability to bridge data science and DevOps disciplines


Nice to Have

  • Experience implementing AIOps for IT operations — anomaly detection, predictive monitoring, or automated remediation

  • Exposure to agentic AI architectures (multi-agent frameworks, orchestration layers, etc.)

  • Strong architectural background — can design scalable and secure ML/AIOps environments

  • Previous consulting or advisory experience in AI/ML platform strategy



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