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Published almost 2 years ago
Responsibilities & more
🟡 Requirements:
â—˝ Expert experience in AI/ML application development, data science, or algorithm creation.
â—˝ Strong proficiency in Python programming language, proficiency in Jupyter Notebook, and familiarity with data science and machine learning libraries, including Pandas, NumPy, Scikit-learn, and Matplotlib.
â—˝ Experience in designing and developing small to medium-complexity projects.
â—˝ Knowledge of stack-specific best practices and ability to work with multiple software stacks.
â—˝ AWS AI/ML Stack: The candidate should possess a strong background in prototyping and crafting AI/ML algorithms, with hands-on experience on the AWS AI/ML stack.
â—˝ Machine Learning Expertise: Experience in implementing both unsupervised and supervised machine learning methodologies, utilizing or creating algorithms grounded in statistical analysis, and handling vast datasets while architecting models for inference tasks.
â—˝ Familiarity with OpenAI's tools and platforms is a noteworthy plus but not a strict requirement.
🟡 Responsibilities:
â—˝ Design and develop software applications from scratch.
â—˝ Collaborate with team members to identify and solve software problems.
â—˝ Write and maintain clean, efficient, and well-documented code.
â—˝ Participate in code review and contribute to the team's coding standards and best practices.
â—˝ Stay up-to-date with new trends and technologies in the software development field.
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