Data Scientist (Generative AI Experience)

Job Summary
We are looking for a talented and innovative Data Scientist specializing in Generative AI to join our team. In this role, you will design, build, and deploy next-generation generative models across text, image, and video applications. Youll work at the forefront of AI, harnessing cutting-edge technologies like transformers, diffusion models, and GANs to develop impactful solutions. This is a hands-on, research-driven role where your contributions will directly influence product innovation and user experience.

Key Responsibilities

• Design, train, and deploy generative models including GANs, VAEs, Diffusion Models, and Transformers.

• Build scalable AI solutions for content generation across text, images, and video.

• Optimize model performance, latency, and inference efficiency for production use.

• Collaborate with engineering, product, and design teams to integrate AI capabilities into core products.

• Conduct research on the latest Generative AI methodologies and apply findings to enhance model performance.

• Ensure the responsible development and deployment of AI, incorporating ethical practices and bias mitigation.

• Manage large-scale datasets: data acquisition, preprocessing, augmentation, and quality control.

• Develop robust APIs and machine learning pipelines to operationalize AI models.

• Present technical findings and strategic insights to internal stakeholders and leadership.

Required Qualifications

• Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.

• Proven experience with generative models such as GPT, Stable Diffusion, StyleGAN, or similar.

• Proficient in Python and experienced with ML frameworks (PyTorch, TensorFlow, or JAX).

• Solid understanding of deep learning, NLP, computer vision, or multimodal AI systems.

• Experience with cloud platforms (AWS, Azure, GCP) and MLOps best practices.

• Hands-on experience with large-scale data processing tools (Spark, Dask, or similar).

• Strong problem-solving ability and a research-oriented mindset.

• Excellent collaboration and communication skills.

Preferred Qualifications

• Experience fine-tuning LLMs and working with retrieval-augmented generation (RAG) architectures.

• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).

• Understanding of responsible AI principles and experience applying fairness or bias mitigation techniques.

• Contributions to academic publications or open-source projects in the field of Generative AI.