MLOps Engineer
3 days ago
We're Hiring: MLOps Engineer
Location: Hyderabad | In-Person Interview
Interview Date:
This Saturday (Single Round – Same Day Confirmation for Selected Candidates)
Experience:
6–12 Years
Key Responsibilities
Design, implement, and maintain
end-to-end ML pipelines
for training, evaluation, and deployment
Collaborate with Data Scientists & Software Engineers to operationalize ML models
Develop & maintain
CI/CD pipelines
for ML workflows
Implement monitoring & logging solutions for production ML models
Optimize ML infrastructure for
scalability, performance, and cost efficiency
Ensure compliance with
data privacy & security regulations
Required Skills & Qualifications
Strong programming in
Python
with ML frameworks (TensorFlow / PyTorch / Scikit-learn)
Hands-on with
Docker & Kubernetes
for containerization & orchestration
Proficiency in
AWS (ML services preferred)
Experience with
MLOps tools & practices
Knowledge of
DevOps tools
(GitLab, Artifactory, Gitflow, Jenkins, etc.)
Understanding of
data versioning & model versioning
Monitoring & observability using
Prometheus, Grafana, ELK stack
Experience with
distributed training techniques
Familiarity with
model serving frameworks
(TensorFlow Serving, TorchServe)
Knowledge of
ML-specific testing & validation
Share your profile at:
Contact:
Don't miss this chance –
Single round interview, same day offer confirmation
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