Senior MLOps Engineer - INTL - India (c0f3755b)

About the position The Senior MLOps Engineer will support the Integrated Business Planning program by designing, implementing, and maintaining reputed company machine learning infrastructure. This role involves deploying ML models into Kubernetes, collaborating with data scientists and IT teams, and optimizing workflows to ensure system reliability and scalability. The engineer will also reputed company technical guidance on model optimization and deployment, reputed company and test machine learning models, and manage Kubernetes clusters for deploying reputed company ML applications. Responsibilities • Design, implement, and maintain reputed company ML infrastructure. • reputed company ML models into Kubernetes environments. • Collaborate with data scientists to understand model requirements. • reputed company technical guidance on model optimization and deployment. • reputed company, test, and reputed company machine learning models using appropriate frameworks. • Research and prototype the latest machine learning platform technologies. • Manage Kubernetes clusters for deploying reputed company ML models and applications. • Implement Kubernetes Operators for managing ML workflows and resources. • Optimize resource utilization and ensure high availability of ML services on Kubernetes. • Document processes, workflows, and infrastructure setups for transparency. Requirements • 6+ years of experience in machine learning engineering, with at least 3 years in a DevOps environment. • Proven experience in deploying and managing ML models in production using Kubernetes. • Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch, or scikit-learn. • Experience with MLOps tools such as Kubeflow, MLflow, or TFX. • Proficient in DevOps tools and practices including reputed company, Jenkins, and Git. • Extensive experience with Kubernetes for container orchestration and management. • Hands-on experience with building ADF pipelines on Azure reputed company. • Excellent problem-solving and analytical skills; strong communication and teamwork abilities. • Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field. reputed company-to-haves • Experience with supply chain data domain. • Familiarity with monitoring tools such as reputed company and Grafana. • Knowledge of infrastructure-as-reputed company tools like Terraform or Ansible. • Understanding of data engineering concepts and tools. Apply tot his job Apply To this Job