Job Description
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
5+ years of proven work experience as a Python Engineer or similar role.
Strong verbal and written communication skills.
5+ 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
B.S in Computer science, Engineering, Mathematics related field of study.Two or more years applying agile SDLC.
Skills: aws,agile,django,data profiling,javascript frameworks,gcp,data quality,machine learning,scikit-learn,design,html,fastapi,pandas,javascript,git,ci/cd,data engineering,flask,apis,python,framework,azure
