Design, develop, and train generative models (such as GANs, VAEs, Diffusion models, Transformer-based models like GPT, etc.) for various use cases, including image, text, and speech generation.
Fine-tune large pre-trained models to specific domains and tasks.
Research and implement state-of-the-art techniques for improving model accuracy, efficiency, and scalability.
Work with large-scale datasets, including data cleaning, annotation, augmentation, and preparation for model training.
Collaborate with Data Engineering teams to ensure proper data pipelines and infrastructure are in place.
Develop and deploy generative AI models into production systems.
Optimize models for inference speed, accuracy, and efficiency in cloud or edge environments.
Ensure models are scalable, reliable, and maintainable.
Stay up-to-date with the latest advancements in generative AI and related fields.
Participate in AI research projects, publish papers, or contribute to open-source communities.
Innovate and prototype current applications for generative AI.
Work closely with software engineers, product managers, and domain experts to integrate AI solutions into existing systems and workflows.
Translate technical concepts to non-technical stakeholders.




What are we looking for
Bachelor s or Master s degree in Computer Science, AI, Machine Learning, or a related field (PhD preferred).
3+ years of experience working with deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong background in machine learning algorithms, specifically generative models like GANs, VAEs, transformers, etc.
Proficiency in Python and experience with other programming languages like Java or C++ is a plus.
Experience with cloud platforms (AWS, GCP, or Azure) and deploying AI models in production.
Solid understanding of deep learning techniques, neural networks, and generative adversarial models.
Robust analytical, problem-solving, and debugging skills.

Preferred Qualifications
Experience with NLP, computer vision, and multimodal models.
Familiarity with reinforcement learning techniques in generative modeling.
Experience working with tools like Hugging Face, OpenAI API, and similar AI/ML libraries.
Knowled publication record in top-tier AI/ML conferences or journals is an advantage.ge of MLOps tools and practices for continuous deployment and monitoring of AI models.
A solid

📌 Generative Ai Engineer Mumbai
🏢 Mactores Cognition
📍 Mumbai