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 cutting-edge artificial intelligence solutions. You will work closely with cross-functional 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 fine-tune 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 pre-processing 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:

• Bachelor's or Master's 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, Scikit-learn).
• 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 problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and ability to explain complex AI concepts to non-technical 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).