Dice is the leading career destination for tech experts at every stage of their careers. Our client, Conch Technologies, is seeking the following. Apply via Dice today! HI Greetings Title: MLOps Engineer Location: Sunnyvale, CA/Austin TX Rtto:Onsite Position Full time /Contract Job Summary For this role, we are looking for ML Ops Engineer with Kubernetes and Python. Experience Required: • 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS Technical skills: • Python, Kubernetes, Mongo DB, Microservices, AWS • SOLR • ML operations, CI/CD pipelines, LLM • Good understanding of Apache SOLR • Proficient with Linux administration. • Knowledge of ML models and LLM. • Ability to understand tools used by data scientists and experience with software development and test automation • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or Google Cloud Platform) Qualifications: • Experience working with cloud computing and database systems • Experience building custom integrations between cloud-based systems using APIs • Experience developing and maintaining ML systems built with open-source tools • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes • Experience developing containers and Kubernetes in cloud computing environments • Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.) • Ability to translate business needs to technical requirements • Strong understanding of software testing, benchmarking, and continuous integration • Exposure to machine learning methodology and best practices • Good communication skills and ability to work in a team Behavioral Skills: • Excellent Communication skills and collaboration skills • Ability to propose and implement improvements in the system • Ability to work with cross-functional stakeholders With Regards, Avinash Chhetri Mobile: Email: Web: