Python AI Solutions Specialist

4 dni temu


Katowice, Silesia, Polska TN Poland Pełny etat
About the Job

This is an exciting opportunity for a Senior Python Developer to join our AI and Machine Learning team at Rockwell Automation. As a key member of our team, you will be responsible for designing and developing advanced Python-based AI applications that drive business growth and improvement.

In this role, you will work closely with cross-functional teams to design and implement AI solutions, leveraging your expertise in Python programming, REST API integration, and Agile methodologies. Your quick learning capabilities, passion for innovation, and openness to new technologies will enable you to contribute significantly to our company's success.

  • Key Responsibilities:
  • Design and develop advanced Python-based AI applications
  • Collaborate with cross-functional teams to design and implement AI solutions
  • Integration with REST APIs and other systems, including Azure Cloud services
  • Engage in Agile methodologies, particularly SCRUM
  • Work in Git
  • Conduct demos for business representatives to showcase AI solutions
Requirements:

MUST HAVE:

  • Proven mid/senior-level proficiency in Python programming
  • Strong knowledge of REST API integration and ability to work with other systems and solutions
  • Proficiency in Git and experience working in SCRUM environments
  • Minimum B2 level of English proficiency; Polish proficiency at a communicative level
  • Quick learner with a passion for innovation and openness to new technologies
  • Experience with Cloud services (Azure Cloud, etc.)
  • Knowledge of Python libraries such as pandas, numpy, langchain, fastAPI, scikit-learn to develop AI solutions
Recruitment Process:
  1. CV Submission: Candidates apply by submitting their CV and cover letter
  2. Screening and Assignment: Recruiter conducts initial screening and sends a recruitment assignment to selected candidates
  3. Technical Review: Candidates solve the assignment; selected ones undergo a technical review
  4. Managerial Interview: Final candidates meet with the AI/ML Manager
  5. Feedback: Candidates receive feedback at the end of the process


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