![Webwello](https://media.trabajo.org/img/noimg.jpg)
AI Systems Designer
23 hours ago
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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