AI Engineer - USA

This is a remote position.

Note: One of our clients based in California USA is creating a new team for a new project and hiring 7 AI Engineers globally. This is a 100% remote job and does not offer visa sponsorship. Please share your resume in English only.

Job Overview:

We are seeking a talented and motivated AI Engineer to join our innovative team. As an AI Engineer you will be responsible for designing developing and implementing cuttingedge artificial intelligence solutions. You will work closely with crossfunctional teams to create intelligent systems that enhance our products and services ensuring they are at the forefront of technology.

Key Responsibilities:

• Design develop and deploy AI and machine learning models to solve complex business problems.
  
• Collaborate with data scientists software engineers and other stakeholders to understand requirements and deliver AI solutions.
  
• Optimize and finetune AI algorithms for performance and scalability.
  
• Conduct research to stay updated on the latest AI trends tools and techniques.
  
• Develop and maintain robust scalable and efficient codebases for AI applications.
  
• Perform data analysis and preprocessing to prepare datasets for training and evaluation.
  
• Evaluate and implement new tools and frameworks to enhance AI development processes.
  
• Work on integrating AI solutions with existing systems and infrastructure.
  
• Troubleshoot and debug AI models and applications to ensure reliability and accuracy.
  
• Document AI development processes models and outcomes for future reference.
  

Required Qualifications:

• Bachelors or Masters degree in Computer Science Engineering or a related field.
  
• Strong programming skills in languages such as Python Java or C.
  
• Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikitlearn).
  
• Solid understanding of machine learning algorithms and statistical methods.
  
• Experience with data preprocessing feature engineering and model evaluation techniques.
  
• Familiarity with cloud platforms (e.g. AWS Azure Google Cloud) and AI services.
  
• Strong problemsolving skills and ability to work in a fastpaced collaborative environment.
  
• Excellent communication skills and ability to explain complex AI concepts to nontechnical stakeholders.
  

Preferred Qualifications:

• Experience with deep learning techniques and neural networks.
  
• Knowledge of natural language processing (NLP) and computer vision.
  
• Experience with big data technologies (e.g. Hadoop Spark).
  
• Familiarity with DevOps practices and tools for AI model deployment and monitoring.
  
• Previous experience in developing AI solutions for specific industries (e.g. healthcare finance retail).