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← DeepIntent

ML Operations Engineer

DeepIntent
Location
Belgrade, Serbia
Posted
20 days ago
Department
Engineering
What they actually want (must-haves)
  • Bachelor's degree in Computer Science or similar technical field of study, or equivalent practical experience
  • Strong software engineering skills in complex, distributed, multi-language systems (Python preferred)
  • Hands-on experience with Spark, Docker and Kubernetes in production environments
  • Experience building and operating end-to-end distributed systems
  • Experience developing and maintaining ML systems built with open-source MLOps tools (e.g., MLflow, Argo, Metaflow, Airflow, Kubeflow)
  • Strong understanding of software testing, benchmarking, and CI/CD practices
Nice to have
  • Familiarity with LLM/generative AI tooling and concepts (model serving frameworks, embeddings, vector stores, RAG pipelines)
  • Familiarity with GPU infrastructure - CUDA fundamentals, GPU scheduling/orchestration in Kubernetes, and driver/toolkit management (NVIDIA drivers, CUDA toolkit, cuDNN)
What the job really is

As an MLOps Engineer at DeepIntent, you will work closely with Data Science and AI teams to build and scale a high-performance machine learning platform. Your responsibilities will include implementing MLOps best practices, maintaining model tracking and observability, and designing deployment infrastructure for ML/AI systems. You will also manage project priorities and collaborate on ML/AI-driven feature development.

Benefits
  • Competitive base salary plus performance-based bonus
  • Comprehensive medical insurance
  • Flexible PTO
  • Hybrid-friendly culture with flexible work options
  • Professional development reimbursement
  • WiFi reimbursement
Things to weigh
  • No specific salary listed
  • Focus on MLOps and AI infrastructure may limit exposure to other areas of software engineering
  • The role requires collaboration with data scientists, which may require strong interpersonal skills
Job score3.2/5
Benefits4/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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