Python Fullstack Developer
Bengaluru, Karnataka, India
- Remote-first
- Website
- @weekdayworks 𝕏
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Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Min Experience: 4 years
Location: Bengaluru, Pune
JobType: full-time
We are looking for an experienced Python Fullstack Developer with a strong foundation in backend API development and a deep understanding of AI and data science tools. The ideal candidate should be proficient in designing and maintaining scalable systems and integrating advanced AI services across various cloud platforms.
Requirements
Key Responsibilities:
- Design, develop, and maintain robust backend APIs using Python to support frontend data requirements.
- Leverage data science libraries and tools such as Pandas, Scikit-learn, NumPy, TensorFlow, and Keras for data analysis and machine learning model implementation.
- Work with AI and ML services across major cloud platforms, including:
- Google Cloud Platform (Vertex AI, etc.)
- Microsoft Azure (AI services)
- Amazon AWS (AI/ML services)
- OpenAI integration
- Implement MLOps practices to streamline deployment, monitoring, and management of ML models.
- Apply Natural Language Processing (NLP) techniques for real-world applications.
- Collaborate closely with cross-functional teams to deliver fullstack solutions that are performance-driven and scalable.
Required Skills:
- Strong proficiency in Python
- Experience with API development and backend integration
- Solid knowledge of data science and ML frameworks: Pandas, Scikit-learn, NumPy, TensorFlow, Keras
- Familiarity with AI services across GCP, AWS, Azure, and OpenAI
- Experience with MLOps and NLP
- Ability to work collaboratively in a fast-paced development environment
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs AWS Azure Data analysis GCP Google Cloud Keras Machine Learning ML models MLOps NLP NumPy OpenAI Pandas Python Scikit-learn TensorFlow Vertex AI
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