Data Science II-HO & SUPPORT-CVM CoE - Corporate Centre of Excellence

Location: Bangalore, Karnataka, India

Core Data Science Skills:

• Expert-level proficiency in statistical methods, hypothesis testing, and experimental design
• Deep understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning
• Strong foundation in probability theory, linear algebra, and mathematical optimization

Generative AI Specialization:

• Proven experience with Large Language Models (LLMs) including GPT, BERT, T5, and similar architectures
• Hands-on experience with audio synthesis technologies (e.g., WaveNet, Tacotron, VALL-E)
• Expertise in image generation models (e.g., Stable Diffusion, DALL-E, GANs, VAEs)
• Experience with video generation and manipulation techniques
• Working knowledge of multimodal AI systems and cross-modal learning

Technical Implementation:

• Proficiency in Python and relevant ML libraries (PyTorch, TensorFlow, Hugging Face, scikit-learn)
• Experience with MLOps tools and practices (MLflow, Weights & Biases, Kubeflow)
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Familiarity with distributed computing frameworks (Ray, Dask, Spark)

Evaluation & Benchmarking:

• Expert knowledge in AI model evaluation methodologies and metrics such as Ragas
• Experience with benchmark datasets and evaluation frameworks (BLEU, ROUGE, FID, IS, CLIP Score)
• Proficiency in statistical analysis and performance measurement tools
• Understanding of bias detection and fairness evaluation in AI systems

We are seeking a highly skilled Senior Data Science Engineer specializing in Generative AI to lead the design, development, and implementation of cutting-edge AI solutions across multiple modalities. The ideal candidate will drive innovation in text, audio, image, and video generation while ensuring robust evaluation, benchmarking, and deployment of production-ready AI systems.