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ML/devops engineer

Appsierra -
Bengaluru Urban District, Karnataka

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Job details

Full-time
₹2,730 a week

Qualifications

BCS
Statistics
Doctoral degree
Computer Science
DevOps
Research
Java
Master's degree
AWS
Analysis skills
Bachelor's degree
Machine learning
Scala
Data science
Jenkins
Python

Full job description

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

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