AI / Machine Learning Software Engineer

Quick Facts

• Remuneration: 150 PLN net + VAT/h
• Industry: Automotive / IT
• Location: 100% remote
• Employment type: B2B
• Working model: Full-time
• Project language: English
• Recruitment process: Remote

Description

Cyclad is looking for an experienced AI / Machine Learning Software Engineer to design, develop, and productionize AI and Machine Learning solutions. The role combines strong software engineering with practical Machine Learning expertise, including developing ML models and building reliable, scalable applications and services around them to bring AI into production.

Responsibilities

• Designing and developing AI and Machine Learning solutions for production environments
• Building scalable software components and services integrating ML models
• Developing and maintaining applications and APIs using Python
• Implementing the complete ML lifecycle: data preparation, model development, evaluation, deployment and monitoring
• Productionizing Machine Learning models and integrating them with existing systems
• Developing MLOps pipelines for training, deployment and monitoring
• Working with large datasets and data-processing frameworks
• Containerizing and deploying AI/ML applications using Docker and Kubernetes
• Working with cloud environments and cloud-native services
• Ensuring code quality through testing, code reviews and software engineering best practices
• Monitoring model and application performance in production
• Collaborating with Data Scientists, Data Engineers, Software Engineers and other technical stakeholders

Requirements

• Strong commercial experience in Python development
• Hands-on experience with Machine Learning and building ML-based solutions
• Experience with ML frameworks such as PyTorch, TensorFlow and/or scikit-learn
• Experience deploying and integrating ML models into production applications
• Good understanding of software engineering principles, clean code, testing and application architecture
• Experience developing REST APIs / backend services
• Knowledge of Docker and containerized applications
• Experience with Kubernetes
• Knowledge of MLOps concepts and tools, including model deployment, monitoring and CI/CD
• Experience with at least one major cloud platform (AWS, Azure or GCP)
• Experience working with SQL and data-processing technologies
• Familiarity with Git and CI/CD
• Very good command of English

Benefits

• Competitive B2B remuneration
• 100% remote work
• Long-term cooperation in an international technology project
• Opportunity to work on advanced AI and Machine Learning solutions
• Participation in projects using modern cloud and MLOps technologies
• Cooperation with experienced Data Science, ML and Software Engineering teams
• Opportunity to develop expertise in production-grade AI/ML systems
• Remote recruitment process
• Support throughout the recruitment and cooperation process