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 models’ scalability 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 (Master’s or Ph.D.) in Computer Science/Statistics/Data Science, specializing in machine learning 

• 3+ years of industry experience (pls don’t 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 : 

Bachelor’s 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