AI Engineer Python / MLOps

140 - 180 PLN/ godz.B2B
MidFull-time·B2B
#368586·Dodano dziś·0
Źródło: nofluffjobs.com
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Tech Stack / Keywords

AIPythonMLOpsDevOpsMachine learningGoogle cloud platformData scienceDockerKubernetesKubeflowMLflow

Firma i stanowisko

Makeitright Sp. z o.o. is recruiting an AI Engineer for a long-term project with one of the largest banks in Poland, focusing on AI, Machine Learning, and Cloud technologies.


Wymagania

  • Minimum 3–5 years of experience as AI Engineer, ML Engineer, or related role.
  • Strong proficiency in Python.
  • Experience building and deploying Machine Learning and AI models.
  • Knowledge of MLOps concepts.
  • Experience automating CI/CD processes for ML models.
  • Ability to design and maintain ML pipelines.
  • Familiarity with model monitoring and lifecycle management tools.
  • Ability to collaborate with Data Science and DevOps teams.

Nice to have:

  • Experience with Google Cloud Platform (GCP).
  • Knowledge of containerization technologies such as Docker and Kubernetes.
  • Experience with ML pipeline orchestration tools like Kubeflow, MLflow, Vertex AI.
  • Knowledge of Generative AI and Large Language Models (LLM).
  • Experience in projects for the financial sector.

Obowiązki

  • Design, develop, and maintain MLOps pipelines including training, deployment, and monitoring of ML and AI models.
  • Automate CI/CD processes for machine learning models.
  • Scale and optimize model training processes in cloud environments.
  • Monitor model performance, analyze model drift, plan retraining, and optimize model efficiency.
  • Collaborate with Data Science, Software Engineering, and DevOps teams on AI solution design and implementation.
  • Participate in building modern and scalable AI-based solutions.

Oferta

  • Cooperation under B2B contract.
  • Hybrid work model: 4 days remote, 1 day per week in Warsaw office.
  • Participation in a strategic project for a major financial institution in Poland.
  • Opportunity to work with latest AI, Machine Learning, and Cloud technologies.
  • Long-term cooperation and development opportunities within an experienced team.

Inne informacje

Only candidates able to work hybrid in Warsaw (4 days remote, 1 day in office) are considered.

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