Entry-Level Artificial Intelligence Specialist

This is a remote position.

• Gather and preprocess data sets for training machine learning models.
  
• Clean transform and format data to ensure its suitability for analysis and modeling.
  

• Assist in the development and implementation of machine learning algorithms and models.
  
• Train and finetune models using appropriate techniques and methodologies.
  

• Evaluate model performance using relevant metrics and validation techniques.
  
• Conduct testing to assess the robustness and generalization ability of AI models.
  

• Stay updated on the latest developments and advancements in artificial intelligence and machine learning.
  
• Conduct research and analysis to identify opportunities for improving AI applications and algorithms.
  

• Collaborate with team members and stakeholders to understand project requirements and objectives.
  
• Communicate findings insights and recommendations effectively to technical and nontechnical audiences.
  

• Document processes methodologies and results in a clear and organized manner.
  
• Prepare reports presentations and documentation to share findings and progress with relevant stakeholders.
  

• Continuously enhance knowledge and skills in artificial intelligence machine learning and related technologies.
  
• Participate in training programs workshops and professional development opportunities to stay current in the field.
  

• Identify and address issues or challenges encountered during the development and implementation of AI solutions.
  
• Troubleshoot errors bugs and performance issues to ensure the reliability and effectiveness of AI systems.
  

• Adhere to ethical guidelines and principles in the development and deployment of AI technologies.
  
• Ensure compliance with relevant regulations and laws governing data privacy security and ethical use of AI.
  

• Provide support and maintenance for AI systems including troubleshooting issues and implementing updates or enhancements as needed.
  
• Monitor system performance and stability and implement measures to optimize efficiency and reliability.
  

Requirements

• High School Diploma or equivalent.
  
• Coursework or specialization in artificial intelligence machine learning data science or computer vision.
  

• Proficiency in at least one programming language commonly used in AI and machine learning such as Python R or Java.
  
• Experience with libraries and frameworks like TensorFlow PyTorch scikitlearn or Keras.
  

• Strong foundation in statistics linear algebra calculus and probability theory.
  
• Ability to apply mathematical concepts to develop and interpret machine learning algorithms.
  

• Familiarity with data collection cleaning preprocessing and transformation techniques.
  
• Experience working with structured and unstructured data sets for AI model development.
  

• Understanding of various machine learning algorithms such as supervised learning unsupervised learning and reinforcement learning.
  
• Knowledge of common algorithms like linear regression logistic regression decision trees random forests SVM kmeans clustering etc.
  

• Basic understanding of deep learning concepts and architectures including artificial neural networks Convolutional neural networks (CNNs) recurrent neural networks (RNNs) and deep reinforcement learning.
  
• Experience with deep learning frameworks like TensorFlow or PyTorch.
  

• Ability to evaluate and validate machine learning models using appropriate metrics and validation techniques.
  
• Familiarity with techniques such as crossvalidation hyperparameter tuning and model selection.