AI / MLOps Engineer

1100 PLN/ dzień./ dzień.B2BB2B (netto)

SeniorZdalnie·GdańskInne·B2B

#477100·Dodano 3 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

PythonAILLM Generative AIRAGGoogle Vertex AIAWS BedrockOpenAI APIAzure OpenAI

Podsumowanie oferty

You will design, deploy, and operate production-grade AI platforms and machine learning solutions. The role focuses on ML pipelines, model integration, monitoring, and retraining, using technologies such as Docker and Kubernetes.

Wymagania

3+ years of experience in AI/ML Engineering, MLOps, Machine Learning Engineering, or related roles.
Strong Python programming skills.
Experience deploying ML models into production environments.
Hands-on experience with Azure, AWS, or GCP.
Solid knowledge of Docker, Kubernetes, and CI/CD practices.
Experience with monitoring and observability tools.
Understanding of software engineering best practices and infrastructure automation.
Experience working in Agile environments.

Nice to have:

Experience with Generative AI (GenAI), Large Language Models (LLMs), or Agentic AI solutions.
AI, Machine Learning, Cloud, or Kubernetes certifications.
Experience working in large-scale enterprise environments.
Knowledge of Responsible AI, MLOps governance, and model lifecycle management.

Obowiązki

Design and implement scalable ML pipelines for training, deployment, and monitoring.
Automate data ingestion, preprocessing, and feature engineering workflows.
Integrate AI/ML models into enterprise applications and APIs.
Develop and maintain CI/CD pipelines for Machine Learning systems.
Monitor model performance, detect model drift, and automate retraining processes.
Deploy AI workloads using Docker and Kubernetes.
Ensure security, compliance, and operational excellence across AI services.
Collaborate closely with Data Scientists, DevOps Engineers, Software Developers, and business stakeholders.

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