Senior Machine Learning Engineer

Helprise is an organization that combines global reach with local talent. They connect specialists with projects where their knowledge has a real impact. The team is based in Poland and develops innovative products leveraging machine learning and LLM technologies to solve real business challenges.

• Proven experience as a Senior Machine Learning Engineer, AI Engineer, or Software Engineer working on AI-driven products.
• Strong proficiency in Python (preferred) or TypeScript, 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 GitHub 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).

Nice to have:

• Experience with OpenTelemetry, 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.
• Experience designing cloud-native, microservices-based systems.
• Hands-on experience with AI/ML systems, LLMs, or Generative AI applications.

• 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.