About the role
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
Originally posted on Himalayas