AI Platform Engineer
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MidFull-time·B2B
#437448·Dodano 2 dni temu·0
Źródło: ExperisTech Stack / Keywords
LLMsGenerative AIAgentic AIMCP serversPythonSQLDatabricksApache SparkAzureCI/CD」「MLOps」「Kubernetes
Firma i stanowisko
Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT.
Wymagania
- 3+ years of experience in AI Engineering, Data Engineering, Software Engineering, or related field.
- Experience with LLMs, Generative AI, Agentic AI, MCP servers, or AI platform development.
- Strong knowledge of Python and SQL.
- Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms.
- Experience with Azure services including Azure Databricks, Synapse, Fabric, Functions, Event Hub.
- Familiarity with CI/CD, MLOps, automation, and model monitoring.
- Knowledge of microservices, containers, and Kubernetes.
- Strong analytical, problem-solving, and communication skills.
Nice to have:
- Experience with vector databases, RAG solutions, or streaming ML.
- Experience working with large-scale enterprise data platforms.
Obowiązki
- Design, develop, and deploy AI solutions in production environments.
- Build reusable AI components, frameworks, and pipelines.
- Integrate AI capabilities into enterprise data platforms.
- Optimize AI workloads and data processing pipelines.
- Collaborate with cross-functional teams to deliver scalable AI solutions.
- Contribute to AI platform development, automation, and best practices.
Benefity
- Private healthcare (Medicover)
- Multisport card
- Group life insurance
- Fully remote work within Poland
- Long-term project in an international environment
- Opportunity to work with cutting-edge AI technologies and enterprise-scale platforms
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Experis
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