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226 IRIS SOLUTIONS Jobs
Python ML OPS - Manager
IRIS SOLUTIONS
posted 7hr ago
Job Role Insights
Fixed timing
Key skills for the job
Job Description
- Proficiency in Python : Strong experience in Python programming, with knowledge of ML libraries like TensorFlow, PyTorch, Scikit-learn, and other relevant tools.
- Machine Learning Knowledge : Solid understanding of machine learning algorithms, model evaluation, and model optimization techniques.
- DevOps and CI/CD : Experience working with DevOps practices, setting up CI/CD pipelines for ML models using tools like Jenkins, GitLab, or CircleCI.
- Containerization : Expertise in containerization technologies like Docker and Kubernetes for deploying machine learning models.
- Cloud Platforms : Experience with cloud computing platforms like AWS, GCP, or Azure for deploying scalable ML applications.
- Version Control : Familiarity with Git and Git-based workflows for version control and collaboration.
- Automation Tools : Experience with automation tools like Apache Airflow, Kubeflow, or similar for workflow management.
- Data Management : Understanding of data pipelines, data preprocessing, and data wrangling techniques.
Preferred Skills:
- Experience with distributed computing frameworks (e.g., Apache Spark, Dask) and parallel processing for scaling ML workflows.
- Familiarity with model interpretability and explainability techniques.
- Experience with model monitoring tools like Prometheus, Grafana, or ELK stack.
- Knowledge of MLOps platforms and tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX).
Mandatory Competencies
Python - Python
DevOps - CI/CD
Cloud - AWS
Cloud - Azure
DevOps - Github
Beh - Communication
Beh - Communication and collaboration
Employment Type: Full Time, Permanent
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based on 8 employees
Strict timing
Monday to Friday
No travel
Day Shift
IRIS SOLUTIONS Benefits
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