Python Engineer (AI & Data Science)

Role Overview:

We are looking for an experienced Python Engineer with a strong focus on AI and Machine Learning to join our team. In this role, you will be responsible for building scalable backend systems, developing and optimizing AI models, and collaborating with cross-functional teams to deliver state-of-the-art AI solutions.

You will work closely with data scientists, AI researchers, and engineers to design and implement algorithms and tools that solve complex business challenges. If you are a Python expert with a passion for AI and want to be part of an innovative and fast-paced environment, this is the role for you! This role is fully remote, but candidates must be based in Pakistan.

Key Responsibilities:

  • Develop, implement, and optimize AI-driven solutions using Python.
  • Build scalable and efficient backend systems for algorithms and AI models.
  • Collaborate with other engineers to design and execute scalable, high-performance systems.
  • Participate in code reviews and contribute to best practices in AI/ML development.
  • Integrate AI models into production applications and troubleshoot issues as they arise.
  • Write clean, efficient, and well-documented code.
  • Stay updated with the latest advancements in AI and machine learning.

Requirements:

  • Minimum 2 years of proven experience in Python programming, especially in AI or machine learning applications.
  • Strong proficiency in Python (knowledge of frameworks like Django, Flask, FastAPI is a plus).
  • Experience working with AI/ML libraries and frameworks like (TensorFlow, Keras, PyTorch, scikit-learn, pandas, and NumPy).
  • Familiarity with data processing, model training, deploying and scaling AI/ML models in production environments.

Culture and Values Alignment

We’re looking for someone who:

  • Is Proactive: Naturally takes initiative and enjoys contributing ideas and solutions.
  • Learns Quickly: Curious and open to new information, able to adapt and grow with the team.
  • Brings Positive Energy: Approaches work with enthusiasm, focus, and a sense of purpose.
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