Job Description
As an AI Developer, your role will involve designing, developing, and implementing artificial intelligence solutions and systems. You will work on various AI projects, utilizing your expertise in machine learning, deep learning, natural language processing (NLP), computer vision, and data analysis. Your primary objective will be to create intelligent algorithms and models that can process and interpret large datasets, extract valuable insights, and make accurate predictions or recommendations.
Skills and Expertise
- Strong proficiency in natural language processing (NLP), including experience with language models like GPT-3, GPT-4, or similar.
- Solid understanding of machine learning concepts, algorithms, and techniques.
- Strong skills in languages such as Python, R, Java, or C++ are commonly required. Familiarity with frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Keras is also valuable.
- Proficiency in Python programming and experience with software development best practices.
- A solid understanding of mathematics and statistics.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders.
- Knowledge of supervised and unsupervised learning, deep learning, computer vision, and reinforcement learning is important for designing and implementing AI systems.
- Experience with data wrangling, feature engineering, data visualization, and working with large datasets.
- Familiarity with AI-related tools, frameworks, and platforms is beneficial. This includes knowledge of cloud platforms (e.g., AWS, Azure, GCP), version control systems (e.g., Git), and development environments commonly used in AI development.
Requirements:
- Develop algorithms and models using machine learning and deep learning techniques.
- Write efficient, scalable, and well-documented code in languages such as Python, Java, or C++. Implement AI algorithms using frameworks like TensorFlow, PyTorch, or scikit-learn.
- Monitor and maintain deployed AI systems, troubleshoot issues, and continuously optimize their performance.
- Convert AI/ML models into APIs that other developers can use.
- Perform statistical analysis on big data sets.
- Manage project infrastructure and the development of AI models and projects.
- Apply statistical techniques such as hypothesis testing, regression, or clustering to gain insights from the data.
- Visualize the results using plots, charts, or dashboards to facilitate understanding and communication.
- Use appropriate tools like Python libraries (e.g., pandas, NumPy, SciPy) or distributed computing frameworks (e.g., Apache Spark) for big data analysis.
- Perform feature engineering and selection to enhance model performance and interpretability.
- Conduct experiments and iterate on models to improve their performance and adaptability to different scenarios.
Qualification:
- Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, or a related field.