We are seeking a highly motivated and skilled MLOps Engineer to join our growing engineering team at IT Labs.
This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable backend solutions with Python and FastAPI.
You will work with cloud-native technologies and contribute to machine learning infrastructure.
You will play a key role in building backend systems that interact with machine learning models and deploy solutions to cloud platforms using modern MLOps practices.
Responsibilities include developing, maintaining, and scaling backend services using Python.
You will implement solutions within cloud environments, particularly AWS, utilizing tools such as Kubernetes and Helm.
You will design and build services that send and receive data from ML models.
Collaboration with data scientists and ML engineers is essential to ensure smooth deployment and integration of machine learning models (MLOps).
You will apply best practices in software engineering, cloud infrastructure, and API design.
Ensuring reliability, scalability, and performance of backend systems is a key responsibility.
You must adapt quickly to diverse client environments and coding standards.
Requirements:
You should have 4+ years of experience in Python backend development, preferably with FastAPI.
A solid understanding and practical experience with MLOps concepts and pipelines is required.
Hands-on experience with AWS services is necessary.
Proficiency in Kubernetes, Helm, and containerized deployments is essential.
You must have the ability to work independently, take initiative, and maintain high attention to detail.
Strong communication skills and the ability to collaborate effectively with remote teams and clients are required.
Benefits:
This position offers a long-term 12-month contract, full-time.
You can choose your contract type: Contract or B2B.
After 4 months of working at IT Labs, you will receive 10 days of PTO.
Referral bonuses are available.
You will have the opportunity to work on international projects.
The company provides virtual knowledge sharing sessions, events, and team hangouts.
