Responsibilities:

• Develop and manage Python scripts to automate tasks and improve efficiency.
• Perform data analysis and interpretation using Python libraries such as Pandas and NumPy.
• Design and implement machine learning models utilizing tools like Scikit-learn and TensorFlow.
• Collaborate with engineers and scientists to address complex technical challenges.
• Write clean, efficient, and well-documented Python code.
• Conduct thorough unit and integration tests to ensure software quality.
• Stay updated with advancements in Python technologies and best practices.

Requirements:

• Strong proficiency in Python programming.
• Familiarity with data structures and algorithms.
• Hands-on experience with data analysis libraries (Pandas, NumPy).
• Basic knowledge of machine learning concepts.
• Excellent problem-solving and analytical abilities.
• Ability to work independently as well as collaboratively in a team environment.
• Strong communication and interpersonal skills.

Ideal Candidate:
This role is suited for individuals passionate about coding, data analysis, and machine learning, eager to solve complex problems and continuously learn.