Cognitud Advisory

Data Science

Category: Data & AI - Services

Experience:5-10 Years
Location:Pan-India

Your team

You will work with a top-tier organization that's been in the game for 50 years, partnering with some of the world's biggest businesses. As India's largest multinational business group, they boast a workforce of over 500,000 highly skilled consultants spread across 46+ countries. Beyond that, they're at the forefront of the financial markets and data industry, delivering exceptional services in Data & Analytics, Capital Markets, and Post Trade. Their commitment to excellence reverberates in everything they do.

Your job

  • You will design and implement generative AI models (e.g., GPT, GANs) for natural language processing, image generation, and other applications
  • Develop machine learning models to analyze large datasets and provide actionable business insights
  • Collaborate with cross-functional teams to deliver AI-powered solutions aligned with business objectives
  • Stay abreast of the latest advancements in generative AI, machine learning, and data science methodologies
  • Strong hands-on experience with generative AI models and frameworks such as GPT, DALL·E, and GANs
  • Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.)
  • Experience with cloud computing platforms like AWS, Azure, or GCP. Strong analytical and problem-solving skills with experience handling large datasets
  • Excellent communication and collaboration skills to work in a fast-paced environment
  • Experience with MLOps practices and AI model governance. Knowledge of LLMs, transformers, and deep learning architecture

Capabilities

  • You will be joining our cutting-edge team as a Gen AI Engineer and Data Scientist. In this role, you will leverage your expertise in generative AI and data science to develop state-of-the-art models, uncover data-driven insights, and drive innovation for clients across diverse industries
  • Perform data preprocessing, feature engineering, and model validation using advanced statistical techniques
  • Maintain AI models in production environments, ensuring continuous improvement and performance
  • Work with cloud platforms (GCP, AWS, Azure) to deploy AI models and ensure scalable AI architecture

Qualifications

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field