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Python Backend Engineer

1 month ago

Yuma, United States IT America Inc Full time
Job DescriptionJob Description



Python Backend Engineer

***Onsite in Phoenix - AZ

Job Summary

Experience : 8 to 10yrs
Shift : Day 9am-6pm

Required Skills : Python ,AI&ML Concepts ,API ,NLP

We are seeking a highly skilled Python Backend Engineer with 6 to 10 years of experience to join our dynamic team.
The ideal candidate will have expertise in Python, AI and ML concepts, API development, and NLP.
This role involves developing and implementing solutions that support our digital and data engineering initiatives, contributing to the companys innovative projects and societal impact.

Roles & Responsibilities
Develop and implement geospatial solutions using Python to support digital and data engineering initiatives.
Utilize AI and ML concepts to enhance data analysis and predictive modeling.
Design and develop APIs to facilitate seamless integration of data with other systems.
Apply NLP techniques to extract meaningful information from unstructured data sources.
Collaborate with cross-functional teams to understand project requirements and deliver solutions that meet business needs.
Conduct thorough data analysis to identify patterns and insights that can drive decision-making processes.
Create and maintain detailed documentation of solutions, including design specifications and user guides.
Provide technical support and troubleshooting for geospatial applications and systems.
Stay updated with the latest advancements in technologies and incorporate them into existing solutions
Ensure data accuracy and integrity by implementing robust data validation and quality control processes.
Lead the development of data visualization tools to present complex data in an understandable format.
Oversee the deployment and maintenance of applications in production environments.
Mentor junior team members and provide guidance on best practices in engineering.

Qualifications
Possess strong proficiency in Python programming for geospatial applications.
Demonstrate expertise in AI and ML concepts, particularly in the context of data analysis.
Have experience in designing and developing APIs for data integration.
Show proficiency in applying NLP techniques to data.
Hold a degree in Computer Science, or a related field.
Exhibit excellent problem-solving skills and attention to detail.
Display strong communication and collaboration abilities.