Generative AI Engineer - Artificial Intelligence/Machine Learning Solutions

Key Responsibilities :

- Design, develop, and deploy generative AI models and systems that solve complex business problems.

- Research and implement state-of-the-art algorithms in natural language generation, image synthesis, or other generative AI domains.

- Collaborate closely with data scientists, ML engineers, and product teams to integrate generative AI capabilities into applications and platforms.

- Optimize model performance, scalability, and robustness for production environments.

- Experiment with novel architectures, fine-tuning methods, and data augmentation techniques to improve model outputs.

- Ensure compliance with ethical AI practices and data privacy standards.

- Stay up-to-date with the latest advancements in generative AI research and industry trends.

Required Qualifications & Skills :

- Minimum 7 years of experience in AI/ML engineering, with a focus on generative models.

- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or JAX.

- Hands-on experience with transformer architectures (e.g., GPT, BERT) and generative model types (GANs, VAEs, diffusion models).

- Expertise in data preprocessing, model training, hyperparameter tuning, and deployment of ML models.

- Solid understanding of NLP, computer vision, or multimodal AI techniques.

- Experience with cloud platforms (AWS, GCP, Azure) for model training and serving.

- Strong problem-solving abilities and research mindset.

Preferred Qualifications :

- Advanced degree (Masters or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.

- Contributions to open-source AI projects or published research papers in generative AI.

- Knowledge of AI ethics, bias mitigation, and responsible AI development