Data Scientist: AI/ML Solutions, Lifecycle & Governance

ARCHE consulting; Województwo mazowieckie; Vor Ort; PLN 180.000 - 250.000; Vollzeit

Zusammenfassung

Arche Consulting Sp. z o.o. is seeking a senior Data Scientist for a global IT services client.

You will design and develop analytics, AI and ML solutions, translating business needs into technical requirements. You will lead end-to-end ML lifecycle: data prep, training, deployment, monitoring and governance, while promoting reusable data science assets and best practices across teams. The role requires advanced Python skills, experience with Azure AI services, MLOps, and a track record of

Qualifikationen

• Certifications in analytics or data science are required.

Aufgaben

• Design and develop advanced analytics, data visualisation, AI and ML solutions.
• Collaborate with business stakeholders to identify needs and translate them into technical requirements and AI/ML use cases.
• Develop, test, deploy and continuously improve ML and DL models.
• Manage the end-to-end DS lifecycle, including model performance evaluation, monitoring and optimization.
• Manage model repositories, artefacts, pipelines and deployment processes.
• Establish and promote DS standards, best practices and reusable solutions.
• Prepare technical documentation covering models, analytical solutions and data processes.
• Support testing, QA, change management and solution deployment.
• Estimate development effort and plan analytical projects and prototypes.
• Facilitate Design Thinking workshops and coordinate DS teams across the organisation.

Kenntnisse

Python

Pandas

Scikit-learn

PyTorch

TensorFlow

MLOps

AI/ML project delivery

Communication

Ausbildung

CAP

CDP Data Engineer

CDP Data Analyst

Microsoft Certified Azure Data Scientist Associate

Tools

Azure Machine Learning

Docker

Kubernetes

Jobbeschreibung

Arche Consulting Sp. z o.o. is seeking a senior Data Scientist for a global IT services client.

You will design and develop analytics, AI and ML solutions, translating business needs into technical requirements. You will lead end-to-end ML lifecycle: data prep, training, deployment, monitoring and governance, while promoting reusable data science assets and best practices across teams. The role requires advanced Python skills, experience with Azure AI services, MLOps, and a track record of