AI Engineer

As an AI Engineer, you will play a crucial role in designing, developing, and deploying AI-driven solutions that enhance the products and services. You will work closely with software engineers, data scientists, and product managers to create intelligent applications that drive business value.

Key Responsibilities:

• Develop and deploy AI/ML models to solve complex business problems.
• Research and implement state-of-the-art machine learning techniques and algorithms.
• Collaborate with software developers and data engineers to integrate AI models into scalable systems.
• Work with large-scale datasets to extract meaningful insights and improve AI models.
• Optimize and fine-tune models to enhance performance, accuracy, and efficiency.
• Build APIs and pipelines to streamline AI model deployment and monitoring.
• Contribute to the development of AI-powered products and enterprise solutions.

Requirements:

• Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
• Experience with AI model development, training, and deployment in production environments.
• Strong understanding of deep learning architectures such as CNNs, RNNs, GANs, and Transformers.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps for CI/CD in AI deployment.
• Ability to process and analyze large datasets to build AI-powered applications.
• Strong problem-solving skills and the ability to work in a fast-paced, tech-driven environment.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with NLP, Computer Vision, or Reinforcement Learning
• Hands-on experience with big data technologies 
• Contributions to open-source AI projects or research publications in AI/ML