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Cloud Engineer (MLOps, GenAI)
Odpowiedz na ogłoszenietechnologies-expected :
- AWS
- SageMaker
- Lambda
- EC2
- S3
about-project :
- Ready for an adventure with AWS & AI? Join us!
- We are one of the fastest-growing AWS Partners in Europe, and our strength lies in the experience gained from delivering innovative IT projects for companies across various industries – from telecommunications and finance to startups.
- Here, you’ll have the opportunity to dive deep into AWS, working on migration projects, ensuring security, and exploring the latest technologies in the Data & AI area.
- Together, we drive innovation and help businesses unlock limitless possibilities!
responsibilities :
- Designing, implementing, and testing GenAI-based solutions in the AWS cloud environment
- Developing and optimizing GenAI models using AWS tools and services such as SageMaker, Lambda, EC2, S3, and other AI/ML tools
- Integrating AI solutions with existing infrastructure, based on serverless architectures
- Implementing automation mechanisms for model training, ML pipelines, and CI/CD for AI solutions
- Analyzing training data and preparing it for training generative models
- Developing and deploying real-time data processing and model training solutions
requirements-expected :
- Minimum 1, 5-2 years of experience in the area of ML / MLOps, data engineering, GenAI (or related in AWS)
- Proficiency in Python programming and familiarity with AI frameworks
- Hands-on experience in training and optimizing GenAI models
- Excellent verbal skills (English) and a human-friendly approach
- General willingness to help customers while they're struggling with technical problems
- Good understanding of software engineering best practices such as code reviews, source control management, build processes, testing, deployment, release, and change management
offered :
- Continues education
- Paid leave
- Sponsored AWS certification
- Training budget
- Flexible schedule
- Free English classes
- Multisport card subsidy
benefits :
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- remote work opportunities
- flexible working time
- integration events
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