Description
We seek a proficient AI Model Deployment Engineer who excels in deploying, monitoring and sustaining AI models within production environments. You'll dive into maintaining these models, teaming up with our governance lead and data scientists to set the gold standard in AI model deployment.
Your knack for automation, scalability and resource management is crucial here. Picture yourself crafting deployment pipelines, streamlining automation processes and ensuring everything scales up seamlessly.
Join us to leverage your expertise - apply!
#wca-senior-deployment-engineer
#Big-Data-6-KZ
#May-Referral-Digest-KZ
What You'll Do
- Deploy, monitor and maintain AI models in production environments
- Collaborate with the governance lead and data scientists to establish and institutionalize best practices for AI model deployment
- Build deployment pipelines, automation and ensure scalability and resource management
- Work with containerization and orchestration tools, such as Docker and Kubernetes
- Implement Continuous Integration and Continuous Deployment (CI/CD) processes
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- Good knowledge and proven experience using AWS SageMaker, including other supporting AWS services such as AWS CloudWatch and S3
- Understanding and experience with Databricks
- Proficiency in using MLflow for model tracking and management
- Experience with CICD tools, specifically Jenkins
- Proven expertise in deploying AI models in production environments
- Strong understanding of best practices in AI model deployment and governance
- Excellent problem-solving and troubleshooting skills
- We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 50+ countries
- Corporate and social events
- We invest in your growth::
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
- Free English classes with certified teachers
- Discounts in local language schools, including online courses for the Kazakh language
- We cover it all:
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical care package
- Six trust days per year (sick leave without a medical certificate)
- Coverage of psychology sessions of your choice
- Discounts for fitness clubs and sports programs
- Benefits package (hotels, tech stores, food delivery)
- EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM Kazakhstan received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation