AI Systems Designer

23 hours ago


Lahore, Punjab, Pakistan Webwello Full time

Company Overview:

Webwello is a customer-centric marketing agency and global company that provides exceptional quality customer experience service. Our mission is to consistently offer opportunities to promote your business and brand.

Salary and Benefits:

We offer competitive salaries, performance-based incentives, and career growth opportunities. Additionally, our remote work environment fosters collaboration and support for professional development.

Job Description:

The AI Engineer/AI Developer will play a critical role in designing, developing, and deploying intelligent agents that solve real-world problems and provide innovative solutions. This involves utilizing state-of-the-art technologies, software development, and data engineering skills.

Key Responsibilities:

  • Design, develop, and implement AI agents using state-of-the-art technologies.
  • Utilize programming languages such as Python, Java, or C++ to build scalable AI systems.
  • Apply machine learning techniques, including supervised, unsupervised, and reinforcement learning.
  • Work on knowledge representation, reasoning, and natural language processing (NLP) tasks.
  • Perform data cleaning, preprocessing, and transformation for AI projects.
  • Develop and optimize models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Integrate AI agents with real-world or simulated environments using tools like Unity ML-Agents or robotics frameworks.
  • Ensure secure deployment of AI systems on cloud platforms like AWS, Google Cloud, or Azure.
  • Address ethical concerns and implement measures to mitigate bias and enhance fairness in AI applications.

Requirements:

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • 2 years of experience in AI/ML development.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong knowledge of mathematics, including linear algebra, calculus, probability, and statistics.
  • Experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with databases (SQL, NoSQL) and version control systems (e.g., Git).
  • Knowledge of cloud computing and scalable architectures.
  • Awareness of ethical and security concerns in AI development.
  • Optional: Understanding of cognitive science and designing intuitive human-agent interactions.


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