MLOps Engineer

Role Overview

We are looking for a seasoned MLOps expert with over a decade of professional experience to design and maintain robust, scalable AI and machine learning platforms. The role includes managing model deployments, monitoring, and establishing CI/CD workflows as well as overseeing Generative AI activities in both cloud and hybrid environments.

Key Competencies

• Expertise in MLOps frameworks and tooling such as Vertex AI, MLflow, and Kubeflow.
• Proficient with leading cloud service providers including Google Cloud Platform, Microsoft Azure, and Amazon Web Services.
• Experienced in DevOps practices with tools like Jenkins, GitHub Actions, and GitLab CI/CD pipelines.
• Skilled in container orchestration and management using Docker, Kubernetes, and OpenShift.
• Strong familiarity with Infrastructure as Code technologies including Terraform, CloudFormation, and Ansible.
• Advanced programming capabilities in Python and SQL.
• Experience handling big data and workflow orchestration using BigQuery, Snowflake, Spark, and Airflow.
• Knowledgeable in Generative AI platforms such as Vertex AI, OpenAI APIs, LangChain, and LangGraph.
• Proficient in continuous integration and continuous delivery, model monitoring, feature store management, model governance, Retrieval-Augmented Generation (RAG), and Agentic AI implementations.
• Capable of providing technical leadership and managing stakeholder relationships effectively.

Additional Information

Please email your resume to the hiring contact at vanshitha@kaizenglobaltechnologies.com.