Senior AI/ML Engineer

Carbon Data Solutions; United States; À distance; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

21 paid working days off

5 sick leaves yearly

50% course/conference funding

Mentoring and development plans

Flexible working hours

HR support and team culture

Résumé du poste

Carbon Data Solutions is seeking a Senior AI/ML Engineer to join a full-time project in the Mobility & Transportation Technology domain. Remote work is available from the EEA or Switzerland, with generous leave and learning perks.

You will develop scalable, serverless time-series forecasting pipelines and collaborate with a cross-functional team including engineers, QAs, POs, and the client's CTO. Strong AWS expertise and a microservices mindset are essential.

Qualifications

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

Responsabilités

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

Connaissances

Python

AWS serverless

Microservices

Time series forecasting

Predictive analytics

A/B testing

English (upper-intermediate)

.NET Core (bonus)

Outils

AWS Lambda

AWS RDS

AWS ECS

SageMaker Pipelines

SageMaker Endpoints

SageMaker Studio

.NET Core

Description du poste

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