We are seeking a highly skilled MLOps Engineer Contractor 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
Maintain and optimize training data pipelines leveraging the latest big data tools with an emphasis on cost-effectiveness and reliability
Model Lifecycle Management
Onboard recent ML models onto the existing platform with standardized training automation and interfaces
MLOps
Maintain and enhance CI/CD pipelines for ML data & model pipelines
Operate sign-off and deployment processes, ensuring high quality model sign-off
Quality Dashboards




Design and develop quality dashboards to monitor the quality and reliability of both models as well as data artifacts produced

Key Qualifications
Bachelors 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 up-to-date CI/CD and MLOps best practices.
Solid problem-solving and analytical skills.
Proven track record of working independently and as part of a distributed global team.

📌 Mlops Engineer Model Focus Hyderabad
🏢 CloudFulcrum
📍 Hyderabad