
ML/Dev Ops Engineer
2 days ago
Req 1 - ML/Dev Ops Engineer
Mandatory Skills:
Databricks, mlFlow, Seldon, AWS, Kubeflow, Tecton, Jenkins
Skill to Evaluate:
Databricks,-mlFlow,-Seldon,-AWS,-Kubeflow,-Tecton,-Jenkins,-Graffana-,-Python-,
Experience: 5 to 10 Years
Location:Bengaluru
Budget: 24 to 30 LPA
Notice - Immediate
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
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
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