lopment, and cloud-based AI platforms.
The candidate will be responsible for designing, developing, training, and deploying advanced Generative AI models using modern AI architectures such as GPT, GANs, and Variational Autoencoders (VAEs). The role includes building scalable AI/ML pipelines, optimizing model performance, evaluating AI solutions, and delivering production-ready intelligent applications.
Professionals should have hands-on experience with Python, TensorFlow, PyTorch, Keras, Hugging Face, SpaCy, NLTK, and Azure Cloud Services. Strong knowledge of Natural Language Processing (NLP), machine learning algorithms, deep learning techniques, software engineering principles, and AI model optimization is highly preferred.
The role also involves collaborating with Data Scientists, Product Managers, AI Researchers, and Engineering teams to deliver enterprise-grade AI solutions, researching emerging AI technologies, mentoring junior engineers, and establishing AI development best practices. Candidates should possess excellent analytical, communication, innovation, and problem-solving skills.
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