AI Innovation Specialist

3 weeks ago

London, Greater London, United Kingdom Cognizant Full time

Cognizant is seeking a highly skilled Data Scientist / AI Engineer to join our Intelligent Process Automation (IPA) practice in Brighton and/or Burgess Hill. This role requires collaboration with business and IT leaders to accelerate and scale end-to-end business processes that think, learn, and adapt on their own.

What You'll Be Doing:

  • You will imagine new applications of generative AI to address business needs and integrate Generative AI into existing applications and workflows.
  • You will collaborate with Machine Learning scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
  • You will work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
  • You will interact with customers directly to understand the business problem, help, and aid them in the implementation of generative AI solutions.
  • You will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths for generative AI.
  • You will create and deliver reusable technical assets that help to accelerate the adoption of generative AI on various platforms.
  • You will provide customer and market feedback to Product and Engineering teams to help define product direction.

Requirements:

  • Proficient in statistics, machine learning, and deep learning concepts.
  • Skilled in Python frameworks such as scikit-learn, scipy, numpy etc. and DL libraries such as TensorFlow, Keras.
  • Skilled in GenAI Projects such as text summarization and chatbot creation using LLM models GPT4, Med-Palm, LLAMA etc.
  • Skilled in fine-tuning open-source LLM models such as LLAMA2 and Google Gemma model to 1-bit LLM using LORA, Quantization, and QLORA techniques.
  • Skilled in RAG-based Architecture using Langchain Framework & used Cohere model to fine-tune and re-rank the response of GenAI-based chatbots.
  • Image classification using AI convolutional neural network models such as VGG16, ResNet, AlexNet, Darknet architectures in the Computer Vision domain.
  • Object detection using various frameworks such as YOLO, TFOD, Detectron.
  • Knowledge of image classification, object detection, tracking, and segmentation.
  • Experience with Neural Networks, BERT, Transformers, RAG, Langchain, Prompt Engineering, Azure AI Search, Vector DB, Conversational AI, and LLMs such as Azure OpenAI (GPT4 turbo), LLAMA2, Google Gemma, and Cohere model.

Salary: The estimated salary for this role is £70,000 - £100,000 per annum based on location and industry standards.

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