AIML Ops Engineer

ML Engineer with MLOps :

Qualification :

• Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, Statistics, or related field.
• 3-5 years of hands-on experience in AI / ML engineering and Python, with a demonstrable focus on building production ready models.
• Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG)
• Proven ability to deploy and manage AI / ML solutions on at least one major cloud platform.
• Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
• Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Containerization Docker and Kubernetes, OpenShift

Key Responsibilities :