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227 IRIS SOLUTIONS Jobs
ML OPS - Senior Engineer
IRIS SOLUTIONS
posted 7hr ago
Job Role Insights
Fixed timing
Key skills for the job
Job Description
- 5+ years of experience in ML Ops engineering or a related field.
- Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc.
- Extensive experience with ML Ops frameworks like Kubeflow , MLflow , TensorFlow Extended (TFX) , KubeFlow Pipelines , or similar.
- Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure).
- Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment.
Mandatory Competencies
Python - Python
DevOps - CI/CD
DevOps - Jenkins
DevOps - Docker
DevOps - Gitlab
DevOps - Kubernetes
Beh - Communication
Employment Type: Full Time, Permanent
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What people at IRIS SOLUTIONS are saying
Senior Engineer salary at IRIS SOLUTIONS
reported by
3
employees
with 7-8
years exp.
₹13
L/yr - ₹23.8
L/yr
82%
more
than the average Senior Engineer Salary in India
View more details
What IRIS SOLUTIONS employees are saying about work life
based on 8 employees
Strict timing
Monday to Friday
No travel
Day Shift
IRIS SOLUTIONS Benefits
View more benefits
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