Senior / Lead AI DevOps / SRE
2 tygodni temu
technologies-expected :
Jenkins
GitLab
CircleCI
Terraform
Ansible
Docker
Kubernetes
technologies-optional :
AWS
Google Cloud Platform
Microsoft Azure
Prometheus
Grafana
ELK
about-project :
We are currently seeking an experienced Senior/Lead AI DevOps/SRE to join our team. In this pivotal role, you will collaborate closely with data scientists and software developers to ensure seamless integration and optimize the operational efficiency of our AI deployments. Your expertise will be pivotal in deploying, maintaining, and scaling our cutting-edge AI solutions, encompassing LLMs and RAG systems.
As a key team member, you will spearhead both traditional DevOps responsibilities and innovative approaches to MLOps. Your proactive involvement will be essential in driving the success of our AI initiatives and maximizing their impact across the organization.
responsibilities :
Implement and maintain CI/CD pipelines for AI and machine learning projects, ensuring robust deployment strategies and continuous integration
Monitor and ensure the reliability, availability, and performance of AI applications, particularly those involving LLMs and RAG
Collaborate with AI research teams to operationalize machine learning models and systems efficiently
Develop and enforce best practices for version control, configuration management, and testing of AI-driven software solutions
Utilize MLOps tools such as Kubeflow, MLflow, or TensorFlow Extended (TFX) to streamline the machine learning lifecycle from experimentation to production
Implement monitoring solutions that track both system metrics and model performance to facilitate proactive issue resolution
Participate in on-call rotations to support the operational health of critical systems, employing SRE principles to meet service-level objectives (SLOs) and reduce downtime
requirements-expected :
Bachelor’s degree in Computer Science, Engineering, or a related field
Proven experience as a DevOps Engineer or SRE, with a strong background in software development and automation
Expertise in deployment and management of LLMs, including technologies like RAG
Proficient in CI/CD tools (Jenkins, GitLab CI, CircleCI) and infrastructure as code (Terraform, Ansible)
Solid knowledge of container orchestration technologies (Kubernetes, Docker)
Familiarity with MLOps tools and practices to support machine learning lifecycle management
offered :
Engineering community of industry professionals
Friendly team and enjoyable working environment
Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Relocation within our 50+ offices
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, O’Reilly, Cloud Guru
Language classes in English and Polish for foreigners
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package (health insurance, multisport, shopping vouchers)
Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
Referral bonuses
Corporate, social and well-being events
benefits :
sharing the costs of sports activities
private medical care
life insurance
remote work opportunities
flexible working time
fruits
corporate products and services at discounted prices
integration events
corporate gym
corporate sports team
no dress code
video games at work
coffee / tea
parking space for employees
leisure zone
pre-paid cards
shopping coupons
sharing the costs of tickets to the movies, theater
christmas gifts
employee referral program
charity initiatives
family picnics
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