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Python Engineer – Specializing in AI and Machine Learning

Summary

Build and fine-tune AI models in Python using PyTorch/TensorFlow, deploy them via cloud services, and integrate them into client systems while following ISO standards.

  • Collaborate with global development teams to analyze, plan, and execute technical solutions for client AI requirements with an emphasis on accuracy, efficiency, and maintainability.
  • Design and implement AI solutions, including automated calculations and letter configurations for new client installations or enhancing existing systems.
  • Work closely with global teams to ensure alignment with project milestones and deliverables.
  • Gain expertise in developing automated AI models and letter configurations, with a focus on AI-driven processes.
  • Stay updated with evolving business requirements and evaluate their impact on AI development and integration.
  • Share knowledge and best practices in coding and software development, fostering collaboration and continuous improvement within the AI development team.
  • Adhere to ISO standards, coding guidelines, and quality requirements to maintain the integrity of AI systems.

Requirements

  • At least 3-5 years of experience in Object-Oriented Programming (OOP) in Python.
  • Minimum 3-5 years of experience in AI and Machine Learning development.
  • Expertise in AI development and a strong focus on creating scalable AI solutions.
  • Strong knowledge of coding standards, best practices, and performance optimization in AI development.
  • Experience with source code control systems, preferably Git.
  • Familiarity with structured software development lifecycle processes.
  • Basic knowledge of Unix (Linux/AIX) and Oracle SQL.
  • Proficient in problem-solving and analytical thinking.
  • Strong written and verbal communication skills in English.
  • Experience with Python, machine learning libraries (e.g., PyTorch, TensorFlow), and cloud technologies such as Azure.
  • Familiarity with large language models (LLM), Generative AI, REST API, RAG, and agentic AI, with skills in fine-tuning using techniques like PEFT.
  • Experience with LangChain, GeminiPro, OpenAI, or similar technologies is an advantage.

See also

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