Job Description
job Summary:
We are seeking a talented AI/ML Specialist with expertise in third-generation AI capabilities and a maximum of 3 years of experience. The ideal candidate will have a strong background in learning through quantified data, graphical data, and text. You will work on developing and implementing advanced AI models and algorithms, contributing to the next generation of AI-driven solutions.
Key Responsibilities:
- Develop and implement AI models and algorithms with a focus on learning through quantified data, graphical data, and text.
- Work with large datasets to extract meaningful insights and patterns.
- Design and train machine learning models using state-of-the-art techniques.
- Implement natural language processing (NLP) techniques for text-based learning.
- Develop algorithms for learning from graphical data, including images and other visual representations.
- Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions.
- Continuously monitor and improve the performance of AI models.
- Stay up-to-date with the latest advancements in AI and machine learning technologies.
- Document and present findings, models, and results to stakeholders.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Up to 3 years of professional experience in AI and machine learning.
- Strong understanding of machine learning algorithms and techniques.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages such as Python or R.
- Experience with natural language processing (NLP) and text analysis.
- Knowledge of graphical data processing and computer vision techniques.
- Familiarity with data visualization tools and techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Preferred Skills:
- Experience with large language models (LLMs) and their applications.
- Familiarity with cloud-based AI/ML services (e.g., AWS SageMaker, Google AI Platform, Azure ML).
- Knowledge of statistical analysis and data mining techniques.
- Understanding of ethical considerations in AI development.