ML / Devops engineer

Mandatory Skills : Databricks, mlFlow, Seldon, AWS, Kubeflow, Tecton, Jenkins
Skill to Evaluate : Databricks , -mlFlow , -Seldon , -AWS , -Kubeflow , -Tecton , -Jenkins , -Graffana- , -Python- , Location : Bengaluru Job Description Focus on ML model load testing and creation of E2E test cases Evaluate modelsscalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models Enhance monitoring of model scalability, and handle incident of increased error rate Collaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional teams Advanced degree (Masters or Ph D ) in Computer Science/Statistics/Data Science, specializing in machine learning 3+ years of industry experience (pls dont include years in a research group or R&D team) Strong programming skills in languages such as Java, Python, Scala Hands-on Experience in Databricks, mlFlow, Seldon Excellent problem-solving skills and analytical skills Expertise in recommendation algorithms Experience with software engineering principles, and use of cloud services like AWS Education Qualificaiton Bachelors degree in Computer Science or related field with experience in Dev Ops / ML Ops Job Title ML/Dev Ops Engineer Roles & Responsibilities Experience in Kubeflow, Tecton, Jenkins Experience in building and monitoring large-scale online customer-facing ML applications, preferably recommendation systems Experience working with custom ML platforms, feature store, and monitoring ML models Familiarity with best practices in machine learning and software engineering Project Details : ML Ops engineer for the Future technology group Project Duration : on Going