Gen Ai Engineer

We are looking for a Generative AI Engineer to design, develop, and deploy AI-powered solutions using Large Language Models (LLMs) and modern machine learning technologies.

Responsibilities:

Collect, preprocess, augment, and generate synthetic data for AI model training and evaluation.

Develop, fine-tune, and optimize LLMs, Transformers, GANs, and VAEs.

Build AI solutions for text generation, language understanding, semantic search, and RAG-based applications.

Develop backend services and APIs using Python or .NET to support AI applications.

Create and maintain scalable AI/ML pipelines for training, deployment, and monitoring.

Integrate AI models with enterprise systems and data sources.

Deploy AI solutions on Azure, AWS, or GCP and leverage cloud AI services.

Ensure AI systems are scalable, reliable, and production-ready.

Collaborate with cross-functional teams and stay updated on emerging AI technologies.

Requirements:

Strong knowledge of Machine Learning, Deep Learning, NLP, and Generative AI.

Experience with LLMs, Transformers, embeddings, fine-tuning, GANs, and VAEs.

Proficiency in Python and frameworks such as PyTorch, TensorFlow, Keras, and Hugging Face.

Experience with data preprocessing, synthetic data generation, and AI model deployment.

Knowledge of cloud platforms (Azure, AWS, or GCP), Docker, and Kubernetes.

Strong problem-solving, communication, and teamwork skills.

Preferred:

Experience with Computer Vision and multimodal AI applications.

Ability to drive innovation and deliver AI solutions that create business value.