1. AI Solution Design: Collaborate with cross-functional teams to understand business requirements and design AI solutions that leverage machine learning, deep learning, and other AI technologies.
2. Algorithm Development: Develop and implement advanced AI algorithms and models, leveraging techniques such as neural networks, natural language processing, and reinforcement learning.
3. Data Analysis: Analyze and preprocess large datasets to extract meaningful insights, identifying patterns and trends that drive AI model training and performance.
4. Model Training and Optimization: Train and fine-tune AI models using state-of-the-art techniques, experimenting with hyperparameters, architectures, and optimization strategies.
5. Deployment: Deploy AI models into production environments, ensuring scalability, performance, and reliability in real-world applications.
6. Performance Evaluation: Evaluate the performance of AI models using appropriate metrics, iteratively refining models to achieve desired outcomes.
7. Research and Innovation: Stay updated on the latest advancements in AI research, incorporating innovative techniques to enhance AI solutions.
8. Code Quality and Documentation: Write clean and maintainable code, document AI development processes, and share knowledge with the team.
9. Collaboration: Collaborate with data scientists, software engineers, and stakeholders to integrate AI solutions into broader systems and applications.
10. Mentorship: Provide guidance and mentorship to junior AI engineers, fostering their growth and development.

Requirements:

• Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 8-10 years of hands-on experience as an AI Engineer, with a focus on designing, developing, and deploying AI solutions.
• Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), libraries, and AI tools.
• Proven track record of building and optimizing complex AI models using deep learning techniques.
• Solid understanding of data preprocessing, feature engineering, and data augmentation.
• Experience in natural language processing, computer vision, or reinforcement learning is a strong plus.
• Proficiency in programming languages such as Python, and familiarity with data manipulation and analysis libraries (e.g., NumPy, pandas).
• Experience with AI model deployment in cloud environments or edge devices.
• Strong problem-solving skills and ability to iterate on solutions to achieve optimal results.
• Excellent communication skills for conveying technical concepts to both technical and non-technical stakeholders.
• Leadership abilities to guide AI development projects, mentor junior team members, and drive innovation.

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 a seasoned Senior AI Engineer with a strong track record of designing and developing AI solutions, a passion for innovation, and a commitment to driving AI advancements, we encourage you to apply. Join AI Innovations Tech and contribute to our mission of pushing the boundaries of artificial intelligence to shape a smarter future.