Senior AI/ML Engineer

6 dni temu

Wrocław, Województwo dolnośląskie, Polska AIDA Recruitment Pełny etat


For our client, we are looking for a Senior AI/ML Engineer to join an exciting full-time project in the Mobility & Transportation Technology domain.

About the Company:
Trusted outsourcing/outstaffing company with 8+ years of experience in web and mobile development. With over 120 experts across six countries, delivers solutions in healthcare, real estate, e-commerce, fintech, and RTC, while also building its own products like VidRTC and Apartmii.

About the Project:
The project focuses on building scalable, serverless solutions for the aviation, shipping, and railway industries. You'll join a team building distributed micro and macro-service backends that improve efficiency and logistics for the transportation sector.

The Ideal Candidate Has:

  • 5+ years of experience with Python in distributed, serverless environments (preferably 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
  • Upper-intermediate English skills
  • Bonus: Familiarity with .NET Core

What You Will Do:

  • 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

What the Company Offers:

  • Remote full-time work from EEA or Switzerland
  • 21 paid working days off + 5 sick leaves yearly
  • 50% co-financing for courses, conferences, and English classes
  • Individual development plans and mentoring
  • Quick decision-making and clearly defined responsibilities
  • Volunteer opportunities, flexible working hours, and empathetic HR support
  • Strong, resilient team with a collaborative and growth-focused culture

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