Artificial Intelligence Engineer

AI Development job involves designing, developing, and implementing artificial intelligence (AI) solutions to solve complex problems and improve processes across various domains. Here’s a detailed breakdown of the job description:

Responsibilities:

• Problem Identification: Collaborate with stakeholders to identify business problems that can be addressed or improved using AI and machine learning (ML) technologies.
• Solution Design: Design AI models and algorithms tailored to specific use cases, considering factors such as data availability, model interpretability, and computational resources.
• Data Preparation: Collect, preprocess, clean, and analyze data to build high-quality datasets suitable for training and evaluating AI models.
• Model Development: Develop, train, and evaluate machine learning models using techniques such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.
• Model Optimization: Optimize AI models for performance, scalability, and efficiency, considering factors such as model size, inference speed, and memory usage.
• Deployment: Deploy AI models into production environments, integrating them with existing systems and ensuring reliability, scalability, and security.
• Monitoring and Maintenance: Monitor deployed AI models for performance degradation, concept drift, and other issues, and perform necessary updates and maintenance to ensure continued effectiveness.
• Documentation: Document the AI development process, including data collection, model design, training procedures, deployment strategies, and performance metrics.
• Collaboration: Collaborate with cross-functional teams, including data engineers, software developers, domain experts, and business stakeholders, to deliver AI solutions that meet business requirements.
• Stay Updated: Stay updated with the latest advancements in AI and machine learning research, tools, and techniques, and apply them to improve AI solutions.

Skills and Qualifications:

• Programming: Proficiency in programming languages such as Python, R, or Julia for developing AI models and implementing algorithms.
• Machine Learning: Strong understanding of machine learning concepts, algorithms, and techniques, including supervised learning, unsupervised learning, and deep learning.
• Data Analysis: Experience with data analysis and manipulation libraries such as pandas, NumPy, or TensorFlow for data preprocessing and feature engineering.
• Deep Learning Frameworks: Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras for building and training neural network models.
• Statistics and Mathematics: Solid understanding of statistical methods, linear algebra, calculus, and probability theory used in machine learning and AI.
• Software Development: Knowledge of software development principles, practices, and tools, including version control systems (e.g., Git) and software engineering best practices.
• Problem-Solving: Strong analytical and problem-solving skills to understand complex problems, formulate AI solutions, and debug issues during development.
• Communication: Excellent verbal and written communication skills to effectively communicate technical concepts and collaborate with team members and stakeholders.
• Domain Knowledge: Domain knowledge in specific industries or applications (e.g., healthcare, finance, e-commerce) can be beneficial for understanding business requirements and designing effective AI solutions.
• Education and Certifications: Bachelor’s or Master’s degree in computer science, data science, artificial intelligence, or a related field. Relevant certifications such as Google Cloud AI Engineer or AWS Certified Machine Learning Specialist may be advantageous.

Position Details:

• Job Type: Full-time, office-based (9 hours a day, Monday to Friday).
• Location:
• GNator Inc. E 230 Ohio-Streets Suite 0410 1848 Chicago, IL 60611 United States, – Candidates should be open to relocating or based in the area.
• Salary: Starting from ₹25,000 per month, negotiable based on experience. We offer competitive salaries and believe in rewarding our team members for their contributions.

Why Join Us?

• Innovative Projects: Work on exciting projects that challenge the status quo and push technological boundaries.
• Career Growth: Opportunities for professional development and growth in a supportive environment.
• Culture: Be part of a collaborative, inclusive, and creative team that values every member’s input and ideas.
• Benefits: Comprehensive benefits package, including health insurance, paid time off, and continuous learning opportunities.