What are the responsibilities and job description for the AI Engineer position at Enterprise Applications Consulting?
Job Title : AI Engineer Job Description : Responsibilities :
- AI Model Development : o Design and develop machine learning and deep learning systems. o Run machine learning tests and experiments to enhance models. o Implement appropriate ML algorithms and tools.
- Data Management : o Analyze and organize raw data. o Process data to be used in AI models effectively. o Enhance data collection procedures to include information relevant for building analytic systems.
- Collaboration and Integration : o Work closely with data scientists, data engineers, and software developers to integrate AI models into broader systems and applications. o Collaborate with stakeholders to understand company needs and devise possible solutions.
- Testing and Validation : o Validate AI models to ensure accuracy and effectiveness. o Troubleshoot and improve existing AI systems.
- Documentation and Reporting : o Document AI development processes, algorithms, and technologies used. o Prepare and present reports on AI projects to internal teams and stakeholders. Skills and Qualifications : Education : Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills : o Strong programming skills in Python, R, Java, or similar languages.
o Experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch) and libraries (e.g., scikit-learn). o Knowledge of AI and machine learning algorithms. o Familiarity with cloud services (AWS, Google Cloud, Azure) that offer AI services.
Analytical Skills : Ability to design and implement complex AI systems. Communication Skills : Excellent communication skills to effectively collaborate with various teams. Problem-solving : Strong problem-solving skills with a focus on product development. Experience : Proven experience as an AI Engineer or similar role. Hands-on experience building and implementing AI models. Work Environment : Office setting, with potential for remote work depending on company policies. Collaborative environment involving various technology and business teams. May require managing multiple projects simultaneously under tight deadlines.
