Job Title: AI Engineer Job Description: Responsibilities:

1. 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.
2. 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.
3. 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.
4. Testing and Validation: o Validate AI models to ensure accuracy and effectiveness. o Troubleshoot and improve existing AI systems.
5. 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.