Machine Learning Engineer

1 week ago

Novi Sad Metropolitan Area, Serbia Qinshift Full time

This is us
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is you

  • 5+ years deploying machine-learning models (classical and/or LLM) in cloud environments (AWS/GCP/Azure) with containers and Kubernetes
  • Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Feast, or equivalent).
  • Proven track record creating robust data/feature pipelines for ML and instrumenting real-time monitoring for drift and performance.
  • Strong software-engineering fundamentals: version control, automated testing, CI/CD, security, and cost awareness.

This is your role

  • Design, implement, and maintain end-to-end ML pipelines for both classical ML and LLM-based solutions.
  • Deploy and manage ML models in cloud environments (AWS / GCP / Azure) using containers and Kubernetes.
  • Apply MLOps best practices for reproducibility, monitoring, and automation.
  • Build and maintain robust data and feature pipelines for ML.
  • Instrument real-time monitoring for model drift, latency, and performance.
  • Collaborate with cross-functional teams to integrate ML solutions into products.
  • Contribute to engineering excellence: CI/CD, testing, security, and cost optimization.

What awaits you at Avenga?
At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

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