Senior MLOps Engineer – AI Infrastructure & Pipelines

Brak informacji o wynagrodzeniu

SeniorHybrydaFull-time·B2B

#373685·Dodano 4 miesiące temu·4

Źródło: ITDS

Tech Stack / Keywords

Our client is a leading financial institution focused on transforming operations through AI and machine learning solutions.

Minimum 4 years of experience in MLOps, AI Infrastructure, or related engineering fields
Strong proficiency in Python and scripting languages such as Bash
Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, or similar
Knowledge of containerization and orchestration technologies including Docker and Kubernetes
Experience working with cloud platforms (AWS, Azure, or GCP) for ML and data pipelines
Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Deep understanding of data pipelines, ETL processes, and workflow orchestration tools
Experience with model monitoring and observability tools such as MLflow, Prometheus, or Grafana
Excellent problem-solving skills and capacity to work effectively in cross-functional teams
Fluent in English and Polish, both written and spoken

Nice to have:

Certification or hands-on experience with Kubernetes, AWS/Azure certifications, or equivalent
Knowledge of security and compliance standards relevant to data and AI systems

Design and maintain CI/CD pipelines for machine learning models
Automate deployment, testing, and monitoring of AI solutions in production environments
Manage cloud-based infrastructure on AWS, Azure, or GCP and optimize resources for ML workloads
Collaborate with data scientists to ensure reproducibility and scalability of experiments
Implement model monitoring and performance tracking systems using tools like MLflow, Prometheus, or Grafana
Troubleshoot and resolve production issues promptly to ensure continuous system uptime
Document workflows, processes, and infrastructure configurations clearly and comprehensively
Apply best practices for security, compliance, and data governance within AI pipelines
Support ongoing improvements of MLOps tools, frameworks, and processes
Stay abreast of emerging trends and new practices in AI infrastructure and MLOps

Only candidates with an existing legal right to work in the European Union will be considered for this role.

ITDS

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