On-site
Full Time
Are you passionate about building scalable AI/ML systems and ensuring their success in production? We’re looking for an MLOps Engineer to join our growing AI/ML team. In this role, you’ll support the end-to-end lifecycle of AI/ML and GenAI use cases — from development to deployment and performance monitoring. Work Profile: - Support AI/ML/GenAI use case development, deployment, and monitoring - Implement AI observability tools to track model performance, drift, and health - Collaborate with cross-functional teams and manage stakeholder communications - Create technical documentation, onboarding guides, and monitoring dashboards - Work with cloud platforms (AWS, Azure, GCP) and scripting tools for automation Skills Required: 🔹 3+ years of experience in AI/ML, GenAI, or MLOps roles 🔹 Solid knowledge of AI observability tools (e.g., MLflow, Evidently, Arize) 🔹 Hands-on experience with cloud tools and platforms 🔹 Proficiency in Python, Bash , or similar scripting languages 🔹 Strong communication and stakeholder management skills Bonus If You Have: - Experience working with LLM/GenAI models - Familiarity with orchestration tools (Airflow, Kubeflow) - Exposure to responsible AI or compliance monitoring frameworks
Soojh AI
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