Posted:6 hours ago|
Platform:
On-site
Full Time
Design, build, and deploy machine learning models and AI-powered applications using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Connect and interact with external services and platforms through their APIs to retrieve and send data, leveraging libraries like requests.
Design, develop, and maintain secure and efficient RESTful APIs for internal and external consumption, including authentication, authorization, and error handling.
Work with various data sources, including databases (SQL/NoSQL) and external APIs, to extract, transform, and load data for AI model training and application functionality.
Write clean, efficient, well-documented, and scalable Python code, adhering to best practices and performing code reviews.
Identify and resolve issues related to application functionality, API integrations, and AI model performance.
Work closely with cross-functional teams (e.g., product managers, data scientists, front-end developers) to gather requirements and deliver integrated solutions.
Keep abreast of the latest advancements in Python, AI/ML, and API technologies.
Strong command of Python programming, including object-oriented programming (OOP) principles, data structures, and algorithms.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), deep learning concepts, natural language processing (NLP), or other relevant AI domains.
Proven experience integrating with and consuming various third-party APIs, including understanding of API authentication methods (e.g., OAuth, API keys).
Experience in designing and developing RESTful APIs using frameworks like Flask, Django, or FastAPI.
Familiarity with relational (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB).
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