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).