Machine learning Engineer (MLops)

Sdna Global

6 - 9 years

30 - 40 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

mlops ci cd pipeline containerization docker azure cloud onpremise mlflow machine learning algorithms ml deployment machine learning aws kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Skills Needed

Deploying ML models in
cloud (AWS, Azure, Oracle)
and on-premises.
CI/CD pipelines
for ML.
Containerization
(Docker, Kubernetes).
Building and maintaining
data pipelines
.
Model monitoring and retraining.

About the role:

MLOps professional with 6-8 years of experience in deploying and scaling machine learning models in production environments of banks. Should be thrive at the intersection of data science and engineering, ensuring that fraud detection models move seamlessly from prototype to production.
Hands-on experience with cloud platforms (AWS, Azure, Oracle) as well as on-premise deployments, and should be comfortable working with containerization, orchestration, and CI/CD pipelines.
Building data pipelines, monitoring model performance, and implementing data quality frameworks come naturally to you, and should understand the critical role they play in keeping fraud models effective and reliable.
Will work cross-functionally, collaborating with data scientists, risk experts, and IT teams to deliver robust fraud analytics solutions. Should take ownership, communicate clearly, and can balance technical excellence with business impact.
MLOpsautomating, scaling, and optimizing model lifecycles to ensure that fraud detection systems remain fast, accurate, and resilient in a constantly evolving threat landscape.

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