Must have - Python , SQL , Sklearn , pandas, matplotlib , Jupyter Notebook, Unix , Exposure to DevOps- CI CD usage
Good to have - Spark, AWS S3, AWS EC2 , Oozie or Airflow ,Redhat OSE or container platform, Knowledge of Revenue management
Nice to ha ve - Hyperparameter tuning
Role and Responsibilities
Understand the Business landscape and data architecture supporting ML pipelines
Exploratory analysis and data visualization for feature identification and troubleshooting
Co-ordinate with Data engineers and data scientists for defining the data contracts and resolving the issues
Data and model validation to certify the fitness of data for model development and deployment
Productionizing the models and deployment
# Understand the functions, interactions and dependencies among components within the application
# Provide inputs for selecting the relevant tools and environment
# Resolve technical problems and able to resolve incidents as part of Application Maintenance Services.
# Monitoring and good troubleshooting skills
# Work with the concerned stakeholders to create and support optimal development environment
# Develop and review code to ensure adherence to define d standards
# Make effective and efficient use of programming tools
# Code Development and Testing
# Code Review and follow coding guidelines
# Adherence to Quality Processes
Job Type: Full-time
Salary: $81,520.70 - $147,287.59 per year
Schedule:
Application Question(s):
Experience:
Work Location: On the road
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