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Are you an experienced Machine Learning Engineer with a strong understanding of generative AI and cloud-based applications? We are looking for talented professionals to join our team, where you'll be developing and optimizing advanced LLM (Large Language Model) applications for internal use. This is your opportunity to work on high-impact projects that require expertise in architecture, cloud-based web applications, and code optimization.
If you're ready to push the boundaries of innovation and be part of an exciting journey, we want to hear from you!
This role offers a hybrid model, with 2-3 days per week working from the client's office in Warsaw.
Responsibilities
If you're ready to push the boundaries of innovation and be part of an exciting journey, we want to hear from you!
This role offers a hybrid model, with 2-3 days per week working from the client's office in Warsaw.
Responsibilities
- Design and improve machine learning solutions in Python, ensuring robust performance for massive cloud-based applications on platforms like Google Cloud and Azure
- Implement automated deployment workflows using tools such as Airflow, Kubeflow, Jenkins, and handle Docker containers and Kubernetes for efficient scaling and orchestration
- Engage with sizable datasets, ensuring effective processing and assimilation for LLM applications while resolving technical issues to boost system performance
- Develop and maintain RESTful APIs to facilitate seamless integration of AI and data services across various systems
- Cooperate with multi-disciplinary teams to deliver scalable, high-quality solutions, and stay informed about the latest developments in machine learning, cloud technologies, and AI methodologies
- Strong knowledge of Machine Learning and Deep Learning algorithms
- Expertise in Python, including libraries such as pandas, scikit-learn, TensorFlow, and PyTorch
- Background in cloud development (Google Cloud or Azure) and deployment tools (e.g., Airflow, Kubeflow)
- Proficiency in Docker, Kubernetes, and Unix/Linux for automation
- Strong problem-solving and troubleshooting abilities
- Experience handling large datasets and building RESTful APIs
- Familiarity with big data technologies such as Spark, Hadoop, Hive, NoSQL
- Background in deep learning platforms like Keras, TensorFlow, or PyTorch
- We gather like-minded people:
- 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
- We provide growth opportunities:
- 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
- We cover it all:
- 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
- Please, note:
- The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.
- We will reach out to selected candidates exclusively.
Key Skills
Ranked by relevance
cloud
machine learning
ai
deep learning
kubernetes
tensorflow
python
docker
restful apis
big data
kubeflow
jenkins
pandas
hadoop
keras
spark
gcp
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- Posted
- Jan 31, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Warsaw
- Company
- EPAM Systems
Industries
Software Development
IT Services
IT Consulting
Categories
Engineering
Information Technology
Business Development
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Lead Generative AI Data Scientist
2026-05-24
Full-time
Mid-Senior
Ukraine
Software Development
Business Development
View Job Details
Related
DevOps Engineer
2026-05-27
Full-time
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Engineering
View Job Details
Related
Junior Java Developer
2026-05-20
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