Position Details: MLOps Engineer

Description:

Position Name : MLOps Engineer
1. MLOps Engineer - System Focus
Location :  HYD
Positions # :  2
We are seeking a highly skilled MLOps Engineer to support the development and operation of automation tools and dashboards within our Machine Learning Platform and Search infrastructure.
This role is critical in ensuring the reliability, scalability, and efficiency of our ML inference services, CI/CD workflows, and training data pipelines.
Responsibilities
·  Web UI Development
o  Design and develop web-based dashboards for monitoring ML inference services.
o Design and develop web-based tools to manage and visualize the Search CI/CD and release workflows.
·    Model Lifecycle Management
o Onboard new ML models onto the existing platform with standardized training automation and interfaces
·   CI/CD & Deployment Operations
o  Maintain and enhance CI/CD pipelines for Search and ML services
o Operate sign-off and deployment processes, ensuring daily release sign-off
·   Big Data Pipeline Management
o Maintain and optimize training data preparation pipelines leveraging the latest big data tools with an emphasis on cost-effectiveness and reliability.
Key Qualifications
·  Bachelor’s degree in Computer Science, Engineering, or a related field.
·   Minimum 5+  years of experience in software engineering with a focus on full-stack development and infrastructure.
·  Full-stack development expertise, including front-end frameworks (React) and backend services (Java, Python).
·  Hands-on experience in DevOps and systems engineering.
In-depth understanding of Linux environments, AWS EKS, Kubernetes.
·   Familiarity with modern CI/CD and MLOps best practices.
· Strong problem-solving and analytical skills.
·   Proven track record of working independently and as part of a distributed global team.

2.MLOps Engineer - Model Focus
Location :  HYD
Positions # :  2
We are seeking a highly skilled MLOps Engineer to support the development and operation of ML pipelines and quality dashboards within our Machine Learning Platform and Search infrastructure.
This role is critical in ensuring the reliability, scalability, and efficiency of our ML pipelines, CI/CD workflows, and model/data quality dashboards
Responsibilities
·  Data Pipeline Management
o Maintain and optimize training data pipelines leveraging the latest big data tools with an emphasis on cost-effectiveness and reliability
·   Model Lifecycle Management
o Onboard new ML models onto the existing platform with standardized training automation and interfaces
·   MLOps
o   Maintain and enhance CI/CD pipelines for ML data & model pipelines
o   Operate sign-off and deployment processes, ensuring high quality model sign-off
·    Quality Dashboards
o   Design and develop quality dashboards to monitor the quality and reliability of both models as well as data artifacts produced
Key Qualifications
·   Bachelor’s degree in Computer Science, Engineering, or a related field.
·   Minimum 5+  years of experience in software engineering with a focus on      full-stack development and infrastructure.
·   Prior hands on experience in ML model productionalization and                   operationalization
·  Familiarity with ML frameworks such as Sklearn, PyTorch, Tensorflow
·  Familiarity with data processing frameworks such as Spark
·  Familiarity with modern CI/CD and MLOps best practices.
·  Strong problem-solving and analytical skills.
·  Proven track record of working independently and as part of a distributed global team.

Perform an action: