Senior AI/ML Engineer — Remote (AWS, Time Series)

AIDA projektai, MB; Wrocław; Remote; PLN 394,000 - 613,000; Full time

Benefits offered by this job

21 paid working days off

5 sick leaves yearly

50% co-financing for courses

Individual development plans

Mentoring

Flexible working hours

HR support

Volunteer opportunities

Job summary

AIDA projektai, MB is seeking a Senior AI/ML Engineer to join a full-time project in Mobility & Transportation tech. You will build scalable, serverless backends, develop forecasting pipelines, and collaborate with engineers, QAs, POs, and the client CTO to deliver high-performance solutions.

Ideal candidates bring 5+ years of Python in distributed environments, strong AWS experience, microservices expertise, and a track record with time series analytics.

Qualifications

• 5+ years of experience with Python in distributed, serverless environments (AWS)
• Hands-on experience with AWS services like Lambda, RDS, ECS, SageMaker Pipelines, Endpoints, and Studio
• Strong background in microservices architecture
• 2+ years working with SQL or NoSQL databases in high-performance setups
• Experience in time series forecasting (ARIMA, Prophet, XGBoost, DeepAR) and predictive analytics
• Continuous A/B testing and model fine-tuning practice
• Bonus: Familiarity with .NET Core

Responsibilities

• Build and maintain scalable serverless systems
• Develop time series forecasting models and predictive analytics pipelines
• Work closely with other engineers, QAs, POs, and the client's CTO
• Ensure smooth CI/CD pipelines and efficient deployments
• Contribute to scalable, high-performance applications in a fast-paced environment
• Write unit tests and follow best practices in development

Skills

Python

AWS

Microservices

SQL/NoSQL

Time series forecasting

AB testing

NET Core

Tools

Lambda

RDS

ECS

SageMaker Pipelines

Endpoints

Studio

Job description

AIDA projektai, MB is seeking a Senior AI/ML Engineer to join a full-time project in Mobility & Transportation tech. You will build scalable, serverless backends, develop forecasting pipelines, and collaborate with engineers, QAs, POs, and the client CTO to deliver high-performance solutions.

Ideal candidates bring 5+ years of Python in distributed environments, strong AWS experience, microservices expertise, and a track record with time series analytics.