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Remote Python Developer with RShiny & ML Experience

Remote Python Developer with RShiny & ML Experience
Dice
remote
1 month 1 week ago

Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, V2 Innovations Inc, is seeking the following. Apply via Dice today!

Position Overview

Are you a talented Python Developer with a passion for data science and machine learning? We are seeking a dynamic individual with strong working knowledge of RShiny and/or Python to join our team as a Remote Work. As a Python Developer with ML experience, you will play a key role in building and maintaining productionalized ML pipelines and APIs, driving innovation and efficiency in our data-driven solutions.

Key Responsibilities

  • ML Pipeline Development: Utilize your expertise in Python and RShiny to design, develop, and maintain robust ML pipelines, ensuring scalability, reliability, and performance.
  • API Development: Collaborate with cross-functional teams to build and maintain APIs for seamless integration of machine learning models into production environments.
  • ML Lifecycle Management: Leverage your familiarity with KubeFlow, ML Flow, SageMaker, or other ML lifecycle platforms to streamline the development, deployment, and monitoring of machine learning models.
  • Containerization: Utilize Docker and Kubernetes to containerize applications and streamline deployment processes, ensuring consistency and scalability across environments.
  • Framework Proficiency: Demonstrate proficiency with RStudio, RShiny, Dash, Flask, and other frameworks to develop interactive web applications and data visualization tools.

Qualifications

  • Technical Expertise: Strong working knowledge of Python and RShiny is essential. Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn is highly desirable.
  • ML Pipeline Experience: Proven experience building and maintaining productionalized ML pipelines and APIs, with a focus on scalability and performance optimization.
  • ML Lifecycle Platforms: Familiarity with KubeFlow, ML Flow, SageMaker, or similar ML lifecycle platforms is preferred.
  • Containerization Skills: Experience with Docker and Kubernetes for containerization and orchestration of applications.
  • Web Development Skills: Familiarity with web development frameworks such as RShiny, Dash, Flask, or similar technologies is advantageous.
  • Collaborative Nature: Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Additional Information

Python Developer with RShiny & ML Experience Must on Contact W2 for Remote

Expertise level

Work arrangement

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