1. Algorithm Development: Collaborate with data scientists and researchers to design and develop AI algorithms and models, leveraging machine learning, deep learning, and other AI techniques.
2. Data Preprocessing: Prepare and preprocess data for AI model training, including data cleaning, feature engineering, and transformation.
3. Model Implementation: Implement AI models using programming languages such as Python and machine learning frameworks like TensorFlow or PyTorch.
4. Model Training and Evaluation: Train AI models using relevant datasets, fine-tuning hyperparameters, and evaluating model performance using appropriate metrics.
5. Deployment: Deploy AI models into production environments, ensuring scalability, efficiency, and compatibility with target platforms.
6. Code Quality and Documentation: Write clean, maintainable code and provide documentation for AI solutions, facilitating collaboration and knowledge sharing.
7. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate AI solutions into larger projects.
8. Problem Solving: Apply problem-solving skills to address challenges related to data quality, model performance, and algorithm optimization.
9. Stay Abreast of Trends: Stay updated on the latest advancements in AI research and technologies to incorporate innovative techniques into projects.
10. Continuous Improvement: Participate in code reviews, contribute to process enhancements, and seek opportunities to enhance the efficiency and effectiveness of AI development.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 3-5 years of experience as an AI Engineer or in a similar role, with hands-on experience in AI model development and deployment.
• Proficiency in programming languages such as Python and familiarity with machine learning libraries (e.g., scikit-learn).
• Strong understanding of machine learning algorithms, supervised and unsupervised learning techniques, and neural networks.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data preprocessing techniques and data manipulation libraries (e.g., NumPy, pandas).
• Basic understanding of software engineering principles and version control systems (e.g., Git).
• Strong analytical and problem-solving skills for addressing challenges in AI development.
• Effective communication skills to collaborate with cross-functional teams and convey technical concepts.
• Passion for staying updated on AI trends and emerging technologies.

Benefits:

• Competitive salary with growth opportunities.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plan with company contributions.
• Ongoing professional development and training opportunities.
• Flexible work arrangements, including remote work options.
• Collaborative and innovative work environment in the AI and technology sector.
• Opportunities for career advancement within a dynamic AI-focused organization.

If you are an experienced AI Engineer with a strong foundation in AI development, machine learning algorithms, and a passion for pushing the boundaries of technology, we encourage you to apply. Join AI Solutions Group and contribute to our mission of delivering innovative AI solutions for diverse industries.