AI Engineer (Dutch speaking)

Cognizant

+3
+14
Amsterdam, North Holland, Netherlands

+3
+14
Amsterdam, North Holland, Netherlands

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À propos

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for an AI Engineer to join our team. Responsibilities • Integrate Generative AI into existing applications and workflows• Collaborate with ML scientist and engineers to Research, design and develop cutting-edge generative AI algorithms to address real-world challenges• Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership• Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI• Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on various platform• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder• 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 tensor flow, keras• Skilled in GenAI Projects such as text Summarization, chatbot creation using LLM models GPT4, Med-Palm, LLAMA etc.• Skilled in fine tuning open source LLM models such as LLAMA2, 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 model such as VGG 16, Resnet, Alex net, Darknet architectures using Computer vision domain• Object detection using various frameworks such as YOLO, TFOD, Detectron• Image classification, object detection, Tracking, Segmentation knowledge• Neural Network, BERT, Transformers, RAG, langchain, Prompt Engineering, Azure AI Search , Vector DB, Conversational AI, LLMs used: Azure open AI (Gpt4 turbo) ,LLAMA2 , Google Gemma, Cohere model, Azure Open AI Embedding Model What we offer • A competitive salary based on your qualities and experience• NS business card to cover your commute expenses• 25 days of paid holiday per year• A laptop and a smartphone• A pension scheme• Health insurance• Organization driven by technology – we have a tremendous technology backbone• Access to Udemy, Cognizant Academy digital libraries for your continuous learning• Open, ‘can do’ team spirit and international environment that encourages making your ideas reality! Diversity and Inclusion at Cognizant At Cognizant, we believe diversity and inclusion are at the heart of our ability to execute successfully and consistently over the long term. We recognize that our people are our most important asset. We strive to create an environment where all associates feel comfortable to be themselves, feel accepted and can therefore thrive both personally and professionally. We continue to drive D&I throughout our organization to unlock the insights, imagination and innovation of our associates, as well as reflect the diversity of our clients and communities. We are a Dutch and European Top Employer and continually drive employment recognition and engagement through employee friendly policies and affinity groups such as “Women Empowered”, “Embrace LGBTQ+” and “Race Equality Network”. For more information, see

Compétences idéales

Computer Vision
Deep Learning
Keras
Machine Learning
Neural Networks
Numpy
Python
Scikit-learn
Segmentation
Statistics
TensorFlow
Tracking
SciPy
Prompt Engineering

Amsterdam, North Holland, Netherlands

Expérience professionnelle

Machine Learning
Computer Vision
NLP

Compétences linguistiques

English

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