AppSierra Solutions - ML/DevOps Engineer

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 (Masters or Ph.D.) in Computer Science/Statistics/Data Science, specializing in machine learning.

- 3+ years of industry experience (pls dont 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 Qualifications :

- Bachelors degree in Computer Science or related field with experience in Dev Ops / ML Ops.

- 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 : Ongoing.