Machine Learning Operations Engineer
InfosysJob Description
MLOps Engineer
Exposure to cloud platforms (AWS / Azure / GCP) for ML deployment Knowledge of LLMOps / GenAI deployment pipelines Familiarity with: Feature stores Data pipelines (Spark, Kafka) Experience with Kubernetes (basic deployment level) Experience with real-time inference systems Exposure to monitoring tools (Prometheus, Grafana) Knowledge of LLM deployment / RAG pipelines Strong Python programming Hands-on experience in Machine Learning workflows Experience with MLOps tools: MLflow / Kubeflow / Airflow / SageMaker / Vertex AI Knowledge of CI/CD tools (GitHub Actions, Jenkins, etc.) Experience deploying models using: Docker, REST APIs, Flask/FastAPI Understanding of: Model versioning Experiment tracking Model monitoringJob role
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Blinkit Private LimitedYou can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.
The candidate should have completed the required education and people who have 2 to 3 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.
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