Application Production Support Specialist - AI/ML Platforms
ABOUT THE JOB
We are expanding the team to specifically support our growing AI/ML and Agentic AI ecosystems. As an Application Production Support Specialist, you will ensure the stability and performance of our cutting-edge AI/ML and Agentic AI platforms. You will operate at the intersection of deep technical infrastructure and functional business enablement, managing complex Linux/Kubernetes environments while supporting advanced AI models and MLOps pipelines. You will work closely with Data Scientists, Product Owners, and Developers to maintain the reliability of next-generation intelligent agents.
KEY RESPONSIBILITIES
- Monitor AI/ML application performance proactively (e.g., via Dynatrace) and resolve technical/functional incidents to ensure SLA compliance
- Maintain underlying platform infrastructure (Linux, K8s, Docker) and collaborate with Data Scientists on MLOps pipeline deployments
- Lead the management of user requests, acting as the primary technical and functional point of contact for end-users
- Act as a communication bridge between Developers, Product Owners, and Business Stakeholders during incidents and system updates
- Drive continuous improvement by collecting user feedback to enhance AI products and providing detailed analysis to development teams for bug resolution
- Utilize CI/CD tools and Infrastructure as Code (Ansible, Terraform) to support the seamless deployment of new AI Agents
PROFILE & SKILLS
- Proven experience in production support or DevOps roles, specifically within complex Linux/Kubernetes environments and AI/ML workflows
- Proficiency in Linux, Kubernetes, Docker, S3, and PostgreSQL
- Strong expertise in Python and familiarity with LLM/MLOps workflows
- Proficient use of DevOps tools including Jenkins, ArgoCD, Bitbucket, Terraform, and Ansible
- Hands-on experience with Kafka, OpenSearch/ElasticSearch, APIs, and MCP
- Ability to use AI/ML observability tools like Arize Phoenix and monitoring tools like Dynatrace
- Strong understanding of Agile (Jira/Confluence) and ITIL best practices
- Exceptional English communication skills, with the ability to translate complex technical issues for business users
- Analytical mindset with the autonomy to lead investigations from initial detection to final resolution
WHAT WE OFFER:
- Hybrid work mode, 50% working from home within a month
- Equivalent for remote work expenses (120 PLN per month)
- Stable employment in the international company
- Fully paid private medical care for employee
- Pre-paid lunch card
- Employee Pension Plan
- Co-financed Multisport Card
- MyBenefit Cafeteria Platform
- Life insurance
- Car parking availability in the office building
- Trainings and development opportunities
- Starts on a fixed‑term contract; becomes permanent after successful performance.
WHY JOIN BNP PARIBAS?
We are BNP Paribas S.A. (Branch in Poland), a part of BNP Paribas Group with 200years of experience in banking. Since 2008, we are at the heart of Warsaw, and now we are also in Krakow. As Corporate and Institutional Banking(CIB), we offer financial solutions for corporate and institutional clients in a number of locations globally. Our Securities Services business line is a multi-asset servicing specialist. We are an exciting, dynamic, and growing operations centre; therefore, we are looking for candidates who are willing to be a vital part of the expansion of BNP Paribas’ operational scope in Poland. It’s our values that drive us forward and are a cornerstone of our business. We rely on our strengths, which include stability, responsibility, expertise, and being a good place to work.
READY TO MAKE A DIFFERENCE?
RECRUITMENT PROCESS
- HR screening call – 15 min
- 1st Business /Technical interview – with the hiring manager + future teammates
- 2nd Business /Technical interview - with Service Delivery Manager
- Final interview with HR
- Offer & onboarding
Recruitment process may differ depending on the position.
If the offer sounds interesting to you - please be invited to apply with your resume in English.