
Cloud-Based Full Stack Developer
1 day ago
**Full Stack Development Opportunity**
**Job Details**We are seeking a highly skilled Full Stack Developer to join our team and contribute to the development of our application and AI development projects.
The ideal candidate will have a strong background in Python programming, experience with AI/ML development, and excellent communication skills.
The role will involve designing, developing, and deploying web and mobile applications, building scalable backend systems, and implementing machine learning models using popular frameworks.
Responsibilities:
- Design, develop, and deploy web and mobile Apps, including AI integration based on Figma designs.
- Build scalable backend systems with clean, modular, and well-tested code.
- Implement and fine-tune machine learning models using popular frameworks (e.g., Langchain, TensorFlow, PyTorch, Scikit-learn).
- Design and build AI agents including vector DB's (Pinecone), RAG, long term memory and embedding.
- Work with data pipelines – data collection, cleansing, preprocessing, and transformation.
- Deploy applications using Docker, Fast API/Flask, and REST APIs.
- Manage full application lifecycle: development, deployment (cloud), monitoring, and post-deployment support.
- Collaborate with cross-functional teams to gather requirements and deliver solutions.
- Maintain clear documentation and effective communication throughout project stages.
Technical Requirements:
- Strong command of Python (OOP, functional programming, scripting).
- Solid understanding of AI/ML concepts and model development.
- Experience with machine learning libraries: Scikit-learn, Pandas, NumPy, TensorFlow or PyTorch.
- Proficiency in RESTful API development (Django, Flask/FastAPI, Node).
- Experience with Docker, Git, and CI/CD pipelines.
- Expert in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, firebase).
- Good grasp of software engineering best practices (version control, testing, code reviews).
- Capable of designing and deploying services in cloud platforms (e.g., AWS, GCP, Digital Ocean).
- Comfortable working on Linux-based environments and shell scripting.
Soft Skills:
- Excellent verbal and written communication skills.
- Ability to explain technical concepts to non-technical stakeholders.
- Proactive problem solver and independent thinker.
- Team player with a collaborative mindset.
Preferred (Nice to Have):
- Exposure to MLOps tools (e.g., MLflow, Airflow).
- Experience with AI/ML model deployment & monitoring in production.
- Prior experience in Agile/Scrum environments.
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