Job Details
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:
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ML Pipeline Development: Utilize your expertise in Python and RShiny to design, develop, and maintain robust ML pipelines, ensuring scalability, reliability, and performance.
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API Development: Collaborate with cross-functional teams to build and maintain APIs for seamless integration of machine learning models into production environments.
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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.
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Containerization: Utilize Docker and Kubernetes to containerize applications and streamline deployment processes, ensuring consistency and scalability across environments.
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Framework Proficiency: Demonstrate proficiency with RStudio, RShiny, Dash, Flask, and other frameworks to develop interactive web applications and data visualization tools.
Qualifications:
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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.
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ML Pipeline Experience: Proven experience building and maintaining productionalized ML pipelines and APIs, with a focus on scalability and performance optimization.
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ML Lifecycle Platforms: Familiarity with KubeFlow, ML Flow, SageMaker, or similar ML lifecycle platforms is preferred.
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Containerization Skills: Experience with Docker and Kubernetes for containerization and orchestration of applications.
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Web Development Skills: Familiarity with web development frameworks such as RShiny, Dash, Flask, or similar technologies is advantageous.
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Collaborative Nature: Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.