Machine Learning Engineer

ValueLabs

10 years

0 Lacs

hyderabad telangana india

Posted:11 hours ago| Platform:

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Skills Required

learning ai ml model development deployment segmentation versioning drift inference latency mlflow aws azure gcp monitoring logging data

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview:

MLOps Engineer

Key Responsibilities:

Build and manage
MLOps pipelines
for AI/ML models (segmentation, Next Best Action, recommendations).
Deploy and monitor models across
Dev/SIT/PROD environments
.
Implement
model versioning, drift detection, and retraining workflows
.
Optimize
model inference performance
for low-latency responses.
Collaborate with infrastructure teams to ensure
hardware and cloud readiness for GenAI
.
Establish
observability and logging
for model behavior and system performance.

Required Skills:

7–10 years
of experience in MLOps or related roles.
Strong knowledge of
ML lifecycle management
,
CI/CD for ML
, and
model deployment frameworks
(e.g., MLflow, Kubeflow, Airflow).
Expertise in
Python
,
Docker
, and
Kubernetes
.
Experience with
cloud platforms
(AWS/Azure/GCP) and GPU-based infrastructure.
Familiarity with
monitoring tools
(Prometheus, Grafana) and
logging systems
.
Understanding of
model drift detection
and
retraining strategies
.

Good to Have:

Exposure to
GenAI model deployment
.
Experience with
data pipelines
and
feature stores
.

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