Remote AI/ML Engineer - Generative Models

Our client is at the forefront of AI innovation and is seeking a talented AI/ML Engineer with expertise in Generative Models to join their fully remote engineering team. This role is crucial for developing and deploying cutting-edge AI solutions that leverage the power of generative artificial intelligence. You will have the opportunity to work on challenging and impactful projects, contributing to the creation of novel applications and enhancing existing products. We are looking for a highly motivated individual who excels in a remote-first environment, possesses strong programming skills, and has a deep understanding of the latest advancements in generative AI.

As an AI/ML Engineer, you will be responsible for designing, implementing, training, and evaluating generative models, such as GANs, VAEs, and Transformers, for various tasks including content generation, data augmentation, and anomaly detection. You will collaborate closely with researchers and other engineers to integrate these models into production systems. The ideal candidate will have a solid foundation in machine learning principles, excellent coding abilities, and a passion for solving complex problems with AI. Your contributions will directly shape the capabilities and offerings of our client's AI products, working remotely from **Aba, Abia, NG**.

Key Responsibilities: Design, develop, and implement generative AI models (GANs, VAEs, Transformers, etc.). Train and fine-tune models using large datasets. Evaluate model performance and identify areas for improvement. Develop data pipelines and preprocessing techniques for training generative models. Integrate generative models into existing software systems and applications. Collaborate with cross-functional teams to define project requirements and deliverables. Stay up-to-date with the latest research and developments in generative AI. Write clean, efficient, and well-documented code. Contribute to the deployment and monitoring of AI models in production. Troubleshoot and resolve issues related to AI model performance and integration. Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Proven experience in developing and deploying generative AI models. Strong proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face. Solid understanding of deep learning architectures and algorithms. Experience with data processing and feature engineering. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices. Excellent analytical, problem-solving, and critical-thinking skills. Strong communication and collaboration skills for remote teamwork. Ability to work independently and manage multiple priorities. This is a fully remote position, offering maximum flexibility. Join our client's innovative team and push the boundaries of AI from **Aba, Abia, NG**.