Senior Machine Learning Engineer room Warszawa
Listed on 2026-07-19
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Helprise is an organization that combines global reach with local talent. We work for companies that value quality, partnership, and responsibility, creating teams that really work. By precisely matching skills and business needs, we connect specialists with projects where their knowledge has a real impact. By joining us, you become part of an environment where matching is not a coincidence, but a decision.
Join a Poland-based AI engineering team developing innovative products that leverage machine learning and LLM technologies to solve real business challenges. You will work on AI-powered solutions, including recommendation systems and revenue optimization platforms, contributing across the full software development lifecycle—from backend and frontend development to cloud deployment and MLOps best practices. This role is ideal for an experienced engineer who combines strong software engineering fundamentals with an interest in modern AI applications and cloud-native architectures.
YOUWILL
- Design, develop, and maintain AI-powered applications, including recommendation engines and revenue optimization solutions.
- Build scalable backend services using Python/FastAPI and contribute to modern React-based frontend applications.
- Integrate machine learning models and LLM capabilities into production-grade software.
- Develop and maintain cloud-native applications deployed on AWS using Docker-based workflows.
- Build and improve CI/CD pipelines, ensuring high code quality and reliable software delivery.
- Collaborate closely with Machine Learning Engineers and Data Scientists to deliver end-to-end AI solutions.
- Contribute to software architecture, engineering best practices, and continuous platform improvements.
- Work in an Agile team, participating in the ongoing development and maintenance of business-critical AI products.
- Proven experience as a Senior Machine Learning Engineer, AI Engineer, or Software Engineer working on AI-driven products.
- Strong proficiency in Python (preferred) or Type Script , with a focus on writing clean, scalable, maintainable, and well-tested code.
- Experience with FastAPI (preferred) or Node.js for backend development.
- Strong knowledge of React and modern frontend development.
- Solid understanding of Git and collaborative development workflows.
- Experience building CI/CD pipelines using Git Hub Actions or similar tools.
- Strong knowledge of Docker and application containerization.
- Good understanding of AWS services, including S3
, ECR
, API Gateway
, and cloud-native application architectures. - Professional working proficiency in English (C1).
- Experience with Open Telemetry, including metrics, logging, and distributed tracing.
- Basic knowledge of Kubernetes and Helm.
- Familiarity with OAuth 2.0 and modern authentication and authorization mechanisms.
- Understanding of relational databases and data engineering best practices.
- Hands‑on experience with AI/ML systems, LLMs, or Generative AI applications.
We give you the opportunity to adjust your work to your lifestyle. We offer flexible hours as well as the possibility of hybrid work, depending on the role and your preferences.
Various forms of cooperationAt Helprise, you can choose the model that best suits your needs. We offer both employment contracts and flexible B2B cooperation options.
Basic benefits packageWe care about the health and well-being of our employees - we provide private medical care, a Multi Sport card, and life insurance.
Development on your termsWe provide an individual development budget that you can use for your professional growth. As a Lumina Learning partner, we also give you access to unique tools and the support of certified practitioners, so you can better understand your potential and strengthen your talents.
Integration and shared experiencesWe regularly enjoy new experiences together and build relationships in an inspiring atmosphere. From cooking sessions, through yoga weekends in nature, to the thrill of escape rooms.
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