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Home
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Jobs in Hyderabad
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VirtueS
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ML OPS

ML OPS

VirtueS

5 years

0 Lacs

Hyderabad Telangana India

Posted:3 days ago| Platform:

Apply

Skills Required

ml learning data collaboration engineering azure design scalability reliability support model training testing deployment tracking versioning management hadoop hive spark governance monitoring automation devops security compliance regulations pipeline ai containerization orchestration docker scripting tensorflow audit certifications apache communication

Work Mode

On-site

Job Type

Contractual

Job Description

Number of positions – 5

Location – Cairo (Egypt) , Non-Egyptian resources

Experience - 5+ Years

Interview process – 1 (internal)+1(External)+1(fitment)

Contract period – 1 years

Job Summary:

MLOps Engineer who is willing to relocate to Egypt

Key Responsibilities:

Design, implement, and manage end-to-end
ML pipelines
, ensuring scalability, reliability, and reproducibility.
Build robust
CI/CD pipelines using Azure DevOps
to support model training, testing, deployment, and monitoring.
Integrate model tracking, versioning, and lifecycle management using
MLflow
.
Work with
Cloudera
and
Hadoop ecosystem tools
(HDFS, Hive, Spark) to handle large-scale data ingestion and transformation for ML use cases.
Develop and manage
Knowledge Graph pipelines
to enrich metadata and model dependencies.
Collaborate with data scientists to productionize models and ensure governance, auditability, and traceability.
Implement monitoring solutions for
model drift
,
performance
, and
data quality
in production environments.
Support infrastructure automation and DevOps practices aligned with enterprise security and compliance standards.
Ensure alignment with data governance, privacy regulations, and organizational best practices.

Required Skills and Qualifications:

6–8 years
of experience in Machine Learning Engineering or MLOps roles.
Proficiency with
MLflow
for tracking, registering, and deploying models.
Strong hands-on experience with
Cloudera
and
Hadoop
platforms.
Experience with
Azure DevOps
for source control, pipeline automation, and deployment.
Working knowledge of
Knowledge Graphs
and metadata-driven AI operations.
Experience with
containerization and orchestration tools
(Docker, Kubernetes).
Proficiency in
Python
and scripting for automation and pipeline development.
Familiarity with ML frameworks such as
scikit-learn, TensorFlow, PyTorch
.
Good understanding of
data security
,
access control
, and
audit logging
.

Preferred Qualifications:

Azure certifications such as
Azure Data Engineer
or
Azure AI Engineer Associate
.
Experience working in regulated industries (e.g., BFSI, Pharma, Healthcare).
Exposure to
Apache NiFi
,
Airflow
, or similar orchestration tools.

Soft Skills:

Strong problem-solving and analytical skills.
Excellent communication and stakeholder management.
Passion for automation and continuous improvement.

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