Job Summary:
As an AI Researcher, you will play a pivotal role in our organization's efforts to advance the
field of artificial intelligence. You will be responsible for conducting research, developing AI
models and algorithms, and staying up-to-date with the latest developments in AI and
machine learning. Your contributions will drive innovation and help shape our AI strategy.

Key Responsibilities:
AI Research and Development:

• Conduct cutting-edge research in artificial intelligence, machine learning, GPT, and related fields.
• Develop and implement novel AI models, algorithms, and solutions to address complex problems.

Data Collection and Analysis:

• Collect and preprocess data for training and evaluation of AI models.
• Analyze large datasets to extract meaningful insights and patterns.

Model Training and Evaluation:

• Train, fine-tune, and optimize machine learning / GPT models for various applications.
• Evaluate model performance using appropriate metrics and techniques.

Algorithm Design:

• Design and develop new AI algorithms, neural architectures, and optimization techniques.
• Explore and experiment with state-of-the-art AI frameworks and libraries.

Publication and Collaboration:

• Publish research findings in reputable AI journals and conferences.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers.

Stay Current with AI Trends:

• Keep abreast of the latest advancements in AI and machine learning by reading research papers, attending conferences, and participating in AI communities.

Qualifications:

• A Ph.D. or master's degree in computer science, artificial intelligence, machine learning, or a related field.
• Proven track record of AI research, including publications in recognized AI conferences and journals.
• Strong programming skills in languages commonly used in AI research (e.g., Python, TensorFlow, PyTorch).
• In-depth knowledge of machine learning algorithms, deep learning, natural language processing, and/or computer vision.
• Experience with AI frameworks and libraries.
• Proficiency in data analysis and statistical modeling.
• Excellent problem-solving and analytical abilities.
• Strong communication and collaboration skills.