ML Ops Architect - Cloud AI Solutions (Remote/Hybrid)

Accenture Poland; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Permanent contract

People Lead support

Development path

Coaching sessions

Training package

Cloud cert programs

Private medical care

Life insurance

Multisport card

Referral program

Job summary

Accenture Poland invites AI/ML specialists to join the Intelligent Consulting Hub in Warsaw, contributing to scalable AI/ML solutions across the enterprise. The role emphasizes collaboration in cross-functional teams and cutting-edge technologies, with travel across Europe as needed.

Ideal candidates bring ML engineering experience, cloud expertise (GCP/AWS/Azure), and hands-on work with model deployment and CI/CD in ML workflows.

Qualifications

• Bachelor-level degree in a quantitative field (Informatics, Physics, Mathematics, Quantitative Methods).
• Experience in ML engineering and data science with knowledge of ML concepts, algorithms and frameworks.

Responsibilities

• Contribute to cutting-edge AI initiatives by applying creativity, critical thinking, and analytical skills.
• Design and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.
• Work in agile, cross-functional teams combining technical, business, and data science expertise.
• Your accountability, responsibility, and autonomy will grow with your experience and seniority.

Skills

ML Engineering

Data Science

Cloud Platforms

CI/CD in ML

English Proficiency

Education

Bachelor's in Informatics/Math/Physics

Tools

Scikit-Learn

TensorFlow

PyTorch

GCP/AWS/Azure

SageMaker/Vertex AI/AzureML

Terraform

Git

Job description

Accenture Poland invites AI/ML specialists to join the Intelligent Consulting Hub in Warsaw, contributing to scalable AI/ML solutions across the enterprise. The role emphasizes collaboration in cross-functional teams and cutting-edge technologies, with travel across Europe as needed.

Ideal candidates bring ML engineering experience, cloud expertise (GCP/AWS/Azure), and hands-on work with model deployment and CI/CD in ML workflows.