Python Developer Machine Language

Overview

Key Responsibilities

• Design and develop machine learning models and algorithms using Python.
• Collaborate with crossfunctional teams to integrate machine learning models into production systems.
• Contribute to the development of data analysis tools and frameworks.
• Optimize and maintain existing machine learning infrastructure and codebase.
• Research and implement new machine learning technologies and methodologies.
• Participate in code reviews and provide constructive feedback to peers.
• Work closely with data scientists and engineers to understand requirements and deliver robust solutions.
• Prototype new ideas and solutions quickly.
• Contribute to the technical documentation and knowledge sharing within the team.
• Stay updated with the latest developments in the field of machine learning and Python development.
• Participate in the continuous improvement of software development processes and practices.
• Collaborate with stakeholders to understand business needs and requirements.
• Conduct thorough testing and validation of machine learning models.
• Troubleshoot and debug machine learning models and algorithms.

• python developer Machine learning(Pytorch/tensorflow/keras) AI

Required Qualifications

• Bachelors degree in Computer Science Engineering Mathematics or related field.
• Proven experience in Python development particularly in the implementation of machine learning algorithms.
• Demonstrated expertise in machine learning including data preprocessing feature engineering and model evaluation.
• Strong understanding of data structures algorithms and software design principles.
• Experience with data analysis libraries such as NumPy Pandas and SciPy.
• Familiarity with machine learning frameworks such as TensorFlow Keras or PyTorch.
• Proficiency in version control systems such as Git.
• Ability to write clean efficient and welldocumented code.
• Excellent problemsolving and analytical skills.
• Good understanding of statistical concepts and their application in machine learning.
• Experience in working with large datasets and distributed computing.
• Strong communication and collaboration skills.
• Ability to work effectively in a fastpaced and dynamic environment.
• Proactive attitude and a passion for continuous learning and selfimprovement.
• Experience with cloud platforms and services is a plus.

python,machine learning,data analysis,algorithm design,problem solving,pytorch,tensorflow,keras