48 r3 Consultant Jobs
Python Engineer - Django/Flask (4-6 yrs)
r3 Consultant
posted 2d ago
Key skills for the job
Job Description :
Roles & Responsibilities :
- Design, develop, and refine at least one Python framework, such as Django, Flask, or FastAPI.
- Collaborate with engineering leads, product teams, and data engineers to ensure Python framework alignment with goals and user needs.
- Able to understand front-end technologies, like JavaScript and HTML, as part of their duties includes integrating applications.
- Excellent collaborative skills as they work closely with web developers, software engineers, and product owners.
- Provide support to content and product teams in understanding data engineering best practices.
- Draft and distribute reports on data pipeline or job performance and development progress.
- Lead the design, development, and deployment of Python related work needed for the AI application.
- Prepare data set for training LLM model for its analytical and operational uses.
- Discover opportunities for data acquisition.
- Build and maintain data pipelines to extract relevant datasets needed for the LLM use case.
- Perform data profiling and ensure quality data is integrated with the LLM models.
- Recommend ways to improve data quality, reliability and efficiency.
- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
- Ensures clients coding standards are followed.
- Coordinates and collaborates with offshore delivery team: clarifies business objectives, requirements, design etc.
Required Qualifications :
- 4+ years of proven work experience as a Python Engineer or similar role.
- Strong verbal and written communication skills.
- 4+ years of proficiency in programming languages and python frameworks.
- Fluent with basic Git Operations and experience with CI/CD.
- Test driven deployment (TDD) and agile mindset.
- Excellent problem-solving and analytical skills.
- Ability to collaborate effectively with cross-functional teams.
- Good knowledge of AWS, GCP, Azure or any other public clouds.
Preferred Qualifications :
- Relevant training and/or certifications in cloud or a related field.
- Familiarity with CLI and Conda for distribution of packages.
- Two or more years with modern data engineering with APIs.
- Computer science, Engineering, Mathematics related field of study.
Functional Areas: Other
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