Senior ML Engineer — Production AI on AWS

SoftServe; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

SoftServe is seeking a Senior Machine Learning Engineer to transform AI ideas into scalable, production-grade solutions. You will bridge ML, software engineering, and cloud tech, delivering reliable, observable ML systems on AWS with cross-functional teams.

You will design and productionize ML services, data pipelines, and model infra, focusing on robust testing, CI/CD, and documentation to support long-term business impact.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong commercial experience in Machine Learning Engineering and software development.
• Hands-on experience building and operating cloud-based applications on AWS.
• Strong proficiency in Python and software development best practices, including testing, code reviews, observability, and CI/CD.
• Experience with modern ML and deep learning frameworks, preferably PyTorch.
• Practical experience developing containerized applications with Docker and deploying in Kubernetes.
• Understanding of distributed systems, cloud-native architectures, and scalable data processing.
• Experience in Agile development environments and collaborating with cross-functional teams.
• Strong communication skills and ability to document designs, decisions, and procedures.

Responsibilities

• Design, develop, and maintain scalable machine learning services, data pipelines, and cloud-native applications on AWS
• Productionize AI, Computer Vision, NLP, and predictive modeling solutions, ensuring reliability, performance, and operational excellence
• Build high-quality, maintainable, and well-tested software following modern engineering standards and best practices
• Collaborate with cross-functional teams to develop end-to-end ML solutions, from data preparation and feature engineering to model deployment and monitoring
• Implement automated model evaluation, performance monitoring, and continuous validation processes to support production systems
• Contribute to cloud infrastructure, deployment automation, and CI/CD processes to ensure efficient software delivery
• Create and maintain technical documentation, including architecture designs, operational procedures, and engineering guidelines
• Participate in code reviews, architectural discussions, and continuous improvement initiatives to strengthen engineering excellence across the team

Skills

Python

CI/CD

Testing

Code reviews

Observability

Distributed systems

Agile development

Communication

Documentation

Education

Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field

Tools

AWS

Docker

Kubernetes

PyTorch

Job description

SoftServe is seeking a Senior Machine Learning Engineer to transform AI ideas into scalable, production-grade solutions. You will bridge ML, software engineering, and cloud tech, delivering reliable, observable ML systems on AWS with cross-functional teams.

You will design and productionize ML services, data pipelines, and model infra, focusing on robust testing, CI/CD, and documentation to support long-term business impact.