AI Engineer
6 days ago
This job is for an AI Engineer (Intermediate) to design and deploy AI solutions for business operations. You might like this job because it involves developing innovative algorithms and integrating AI into enterprise systems for efficiency.
Our client is currently looking for an AI Engineer to join their innovative team. As a key contributor, you will be responsible for designing, developing, and deploying AI-driven solutions that enhance their business operations, including ERP and enterprise systems.
Responsibilities- AI Model Development: Design, train, and optimize machine learning and deep learning models to solve business problems.
- Data Processing & Management: Work with large datasets, perform data cleaning, preprocessing, and feature engineering.
- Enterprise System Integration: Implement AI-driven automation and analytics within ERP and other enterprise systems.
- Computer Vision Solutions: Develop and deploy computer vision models for applications such as image recognition, defect detection, and automated inspections.
- Algorithm Optimization: Research and develop innovative algorithms for improving business efficiency and decision-making.
- Cloud & Edge Deployment: Deploy AI models on cloud platforms and edge devices for scalable performance.
- Collaboration with Teams: Work closely with software engineers, data scientists, and business analysts to integrate AI solutions effectively.
- AI Ethics & Security: Ensure AI models adhere to ethical guidelines and security best practices.
- Documentation & Research: Maintain comprehensive documentation on AI models, experiments, and findings to drive continuous improvements.
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- At least 3 years of experience in AI/ML development.
- Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Experience with NLP, computer vision, or reinforcement learning.
- Knowledge of data processing tools such as Pandas, NumPy, and SQL.
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes).
- Experience integrating AI solutions into enterprise systems like ERP.
- Strong problem-solving skills and the ability to translate business requirements into AI solutions.
- Excellent communication and teamwork abilities.
- Experience with Generative AI and LLMs.
- Knowledge of AI-powered automation (RPA, intelligent agents, etc.).
- Hands-on experience with MLOps and AI model deployment pipelines.
- Understanding of ethical AI principles and regulatory compliance.
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