2700000 - 3000000 INR - Yearly
Chennai, Tamil Nadu, India
Information Technology
Full-Time
AppSierra
Overview
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
Bachelor’s degree in Computer Science or related field with experience in Dev Ops / ML Ops
Job Title
ML/Dev Ops Engineer
Roles & Responsibilities
Project Duration : on Going
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
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 Duration : on Going
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