Artificial Intelligence Engineer - Machine Learning Models

As an AI Engineer at our company, you will play a crucial role in designing, developing, and deploying intelligent systems using advanced AI and machine learning techniques. Your expertise will contribute directly to building efficient, scalable solutions that address real-world challenges and align with our organizational objectives. Key Responsibilities: - Design and develop custom AI models and machine learning algorithms. - Implement AI-driven features into existing systems to enhance user experience and business processes. - Manage data pipelines and infrastructure for AI development and deployment. - Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. - Monitor and continuously improve the performance of deployed AI models. - Stay abreast of the latest advancements in artificial intelligence and propose innovations to enhance existing workflows and systems. Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or a related technical field. - Proven experience in developing and deploying machine learning, deep learning, NLP, or computer vision solutions. - Proficiency in programming languages such as Python, Java, or R. - Hands-on experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, etc. - Strong analytical and problem-solving skills. - Ability to work collaboratively in a fast-paced, team-oriented environment. This job also requires nice-to-have skills such as experience with cloud platforms (AWS, GCP, or Azure) for model deployment, familiarity with MLOps practices and tools (Docker, Kubernetes, CI/CD), and prior experience in deploying real-time or edge AI applications. Please note that the job description is referenced from hirist.tech.,