Senior MLOps Engineer – AI Infrastructure & Pipelines
⚲ Warszawa
21 000–31 500 zł / mies. (zal. od umowy)
Wymagania
- Python
- Bash
- Jenkins
- GitLab
- Docker
- Kubernetes
- AWS
- Microsoft Azure
- Google Cloud Platform
- Prometheus
- Grafana
Opis stanowiska
Nasze wymagania:
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, both written and spoken
Mile widziane:
Certification or hands-on experience with Kubernetes, AWS/Azure certifications, or equivalent
Knowledge of security and compliance standards relevant to data and AI systems
O projekcie:
As a Senior MLOps Engineer – AI Infrastructure & Pipelines, you will be working for our client, a leading financial institution committed to transforming its operations through cutting-edge AI and machine learning solutions. You will be instrumental in automating ML lifecycle processes, building scalable data pipelines, and deploying robust AI systems in production. This role offers the chance to work at the forefront of AI innovation, collaborating with top-tier data scientists and engineers to shape the future of intelligent automation.
Unleash the Power of Intelligent Systems — Drive Innovation in AI Infrastructure!
Poland-based opportunity with hybrid work model.
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Zakres obowiązków:
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
Oferujemy:
Stable and long-term cooperation with very good conditions.
Enhance your skills and develop your expertise in the financial industry.
Work on the most strategic projects available in the market.
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years.
Participate in Social Events, training, and work in an international environment.
Access to attractive Medical Package.
Access to Multisport Program.
Access to Pluralsight.
Flexible hours.
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, both written and spoken
Mile widziane:
Certification or hands-on experience with Kubernetes, AWS/Azure certifications, or equivalent
Knowledge of security and compliance standards relevant to data and AI systems
O projekcie:
As a Senior MLOps Engineer – AI Infrastructure & Pipelines, you will be working for our client, a leading financial institution committed to transforming its operations through cutting-edge AI and machine learning solutions. You will be instrumental in automating ML lifecycle processes, building scalable data pipelines, and deploying robust AI systems in production. This role offers the chance to work at the forefront of AI innovation, collaborating with top-tier data scientists and engineers to shape the future of intelligent automation.
Unleash the Power of Intelligent Systems — Drive Innovation in AI Infrastructure!
Poland-based opportunity with hybrid work model.
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Zakres obowiązków:
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
Oferujemy:
Stable and long-term cooperation with very good conditions.
Enhance your skills and develop your expertise in the financial industry.
Work on the most strategic projects available in the market.
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years.
Participate in Social Events, training, and work in an international environment.
Access to attractive Medical Package.
Access to Multisport Program.
Access to Pluralsight.
Flexible hours.
🔍 Dekoder Ogłoszenia
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Minimum 4 years of experience in MLOps, AI Infrastructure, or related engineering fields
Może oznaczać 4 lata doświadczenia w czymkolwiek powiązanym, niekoniecznie w konkretnym MLOps.
🔴
Excellent problem-solving skills and capacity to work effectively in cross-functional teams
Oczekuje się, że będziesz rozwiązywać problemy, które inni nie potrafią, często w warunkach presji i z ograniczonym wsparciem.
🔴
You will be instrumental in automating ML lifecycle processes, building scalable data pipelines, and deploying robust AI systems in production.
Oznacza to, że będziesz odpowiedzialny za kluczowe, często trudne i czasochłonne zadania, które są podstawą działania systemów AI.
🔴
This role offers the chance to work at the forefront of AI innovation, collaborating with top-tier data sci
Może oznaczać pracę nad nowymi, ale jeszcze nie w pełni ugruntowanymi technologiami, z potencjalnym brakiem jasnych wytycznych.