ML/Dev Ops Engineer

1 day ago

Bengaluru, Karnataka, India Ubique Systems Full time ₹ 2,40,000 - ₹ 3,00,000 per year

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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