Python Lead Engineer

Dallas, TX
Full Time
Experienced

Python Lead Engineer 
Hybrid role, 3 days a week onsite

Are you a passionate Python developer/engineer ready to lead cutting-edge AI projects?

Join our client's dynamic team and make a significant impact on our business-critical applications. As a Python Lead Engineer, you'll be at the forefront of designing, developing, and deploying innovative solutions using the latest technologies.

Responsibilities:

  • Lead with Vision: Guide a talented team of developers, providing technical leadership and mentorship.
  • Build the Future: Design, develop, and test scalable, high-performance Python applications using frameworks like Flask and tools like NumPy and Pandas.
  • Leverage AI Power: Harness the potential of machine learning and natural language processing (NLP) to create intelligent and efficient solutions.
  • Collaborate for Success: Work closely with product owners, scrum masters, QA engineers, and other stakeholders to ensure project success.
  • Stay Ahead: Continuously explore and adopt emerging AI technologies like Google Cloud AI tools Gemini and Gecko.
  • Ensure Security: Protect our applications by implementing robust security measures and best practices.

Qualifications:

  • Proven Experience: 10+ years of hands-on Python development experience.
  • Technical Expertise: Deep understanding of Python frameworks, machine learning concepts, and NLP techniques.
  • Cloud Mastery: Proficiency in Google Cloud Platform (GCP) services, especially Vertex AI and Document AI.
  • Agile Mindset: Experience working in agile environments and using CI/CD tools.
  • Leadership Skills: Ability to motivate and inspire a team while fostering a collaborative culture.
  • Problem-Solving: Strong analytical and problem-solving skills to tackle complex challenges.
  • Communication: Excellent communication skills to effectively convey technical concepts and collaborate with cross-functional teams.

Bonus Points:

  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Familiarity with RAG models and vector stores.
  • Knowledge of RESTful APIs, MongoDB, and serverless architecture.

If you're ready to shape the future of AI and make a real difference, we want to hear from you!

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