Job Summary:We're seeking an AI/ML DevOps Engineer to design, implement, and maintain the infrastructure and pipelines for our AI/ML models. You will collaborate with cross-functional teams to ensure efficient model deployment, monitoring, and maintenance. Your expertise in DevOps practices, cloud computing, and AI/ML technologies will enable us to deliver scalable, reliable, and high-performing AI solutions.Key Responsibilities:DevOps and Infrastructure:1. Design, implement, and manage AI/ML model serving infrastructure (cloud-native, on-premises, or hybrid).2. Develop and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or Azure DevOps.3. Ensure scalability, security, and compliance of AI/ML infrastructure.4. Collaborate with cloud architects to optimize cloud resources and costs.Requirements:Technical Skills:1. 3+ years of experience in DevOps, cloud computing, or AI/ML engineering.2. Strong expertise in:- Cloud platforms (AWS, Azure, GCP).- Containerization (Docker, Kubernetes).- CI/CD tools (Jenkins, GitLab CI/CD, Azure DevOps).- AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).- Programming languages (Python, Java, C++).3. Experience with Agile development methodologies.Education:1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields.Nice to Have:1. Experience with AI/ML model development and deployment.2. Knowledge of security and compliance regulations (e.g., GDPR, HIPAA).3. Familiarity with NoSQL databases (e.g., MongoDB, Cassandra).