Company:
Resource Informatics Group
Location: Irving
Closing Date: 19/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Title: Sr Python Full Stack Developer (Locals Only)
Location: Houston, Texas
Duration: 6+ months
Responsibilities include:
Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems
Design and implement frameworks and tools to streamline the machine learning process
Automate manual data collection and processing tasks to improve efficiency
Leverage software architecture and design patterns to develop fault tolerant microservices
Convert research-based machine learning models into production-ready software
Implement processes to ensure coding standards, code quality, documentation, and test coverage
The successful candidate will meet the following qualifications:
10+ years in IT and 7+ years of programming experience in Python
Expertise in developing and maintaining data pipelines
Experience in testing, packaging, and deploying machine learning models
Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
Expertise in Object-Oriented Design Principals and Functional Programming Principals
Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3
Experience in storage technologies including SQL relational databases and Object Storage such as AWS S3
Experience in implementing distributed computing systems
Experience in designing modular, reusable software components
Experience in developing API endpoints and microservices
Knowledgeable of MLOps Principles
Knowledgeable of Client platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow
Location: Houston, Texas
Duration: 6+ months
Responsibilities include:
Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems
Design and implement frameworks and tools to streamline the machine learning process
Automate manual data collection and processing tasks to improve efficiency
Leverage software architecture and design patterns to develop fault tolerant microservices
Convert research-based machine learning models into production-ready software
Implement processes to ensure coding standards, code quality, documentation, and test coverage
The successful candidate will meet the following qualifications:
10+ years in IT and 7+ years of programming experience in Python
Expertise in developing and maintaining data pipelines
Experience in testing, packaging, and deploying machine learning models
Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
Expertise in Object-Oriented Design Principals and Functional Programming Principals
Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3
Experience in storage technologies including SQL relational databases and Object Storage such as AWS S3
Experience in implementing distributed computing systems
Experience in designing modular, reusable software components
Experience in developing API endpoints and microservices
Knowledgeable of MLOps Principles
Knowledgeable of Client platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow
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