Senior Machine Learning Engineer
2 tygodni temu
- Python
- Unix
- Linux
- Spark
- Hadoop
- Hive
- NoSQL
- Keras
- TensorFlow
- PyTorch
- Airflow
- Kubeflow
- Google Cloud Platform
- Microsoft Azure
- Windows
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.
Your 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.
- Conferences in Poland.
- Development budget.
- External training.
- Industry-specific e-learning platforms.
- Intracompany training.
- Mentoring.
- Soft skills training.
- Space for experimenting.
- Substantive support from technological leaders.
- Support of IT events.
- Technical knowledge exchange within the company.
- 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.
EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.
With offices in 55+ countries, EPAM has grown in Latvia to over 888+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Dodano: 15. 3. 2025
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