Job Summary
We are seeking an experienced Data Scientist with 7 to 9 years of experience to join our team. The ideal candidate will have a strong background in various technical skills including Statistics Azure Open AI Service and Machine Learning. This role involves working on cutting-edge AI projects that will significantly impact our companys growth and societal contributions.
Responsibilities
Lead the development and implementation of machine learning models to solve complex business problems. Oversee the application of statistical methods to analyze data and generate actionable insights. Provide expertise in Azure Open AI Service to enhance our AI capabilities. Conduct exploratory data analysis (EDA) to identify trends and patterns in large datasets. Utilize Airflow for orchestrating complex data workflows and pipelines. Develop and maintain knowledge graphs to improve data relationships and insights. Implement ML Ops practices to streamline the deployment and monitoring of machine learning models. Apply machine learning techniques to develop predictive models and algorithms. Leverage Cloud AutoML for building and deploying scalable machine learning solutions. Design and develop AI-enabled chatbots using Dialogflow. Utilize OpenCV for computer vision tasks and image processing. Apply artificial intelligence and natural language processing techniques to enhance our products. Develop deep learning models using PyTorch and Tensorflow. Use R Statistical Package and Python for data analysis and model development. Optimize search engine performance to improve visibility and user engagement.
Qualifications
Possess a strong background in Statistics and Machine Learning. Have hands-on experience with Azure Open AI Service and EDA. Be proficient in using Airflow for data workflows. Demonstrate expertise in knowledge graphs and ML Ops. Have experience with Cloud AutoML and Dialogflow. Be skilled in OpenCV artificial intelligence and natural language processing. Have proficiency in deep learning frameworks such as PyTorch and Tensorflow. Be adept in using R Statistical Package and Python. Have knowledge of search engine optimization techniques. Experience in New Product Development in T&H domain is a plus. Strong analytical and problem-solving skills. Good communication skills in English & Arabic
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
Cognizant is a global community with more than 345,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you.
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes and transform experiences so they stay ahead in a fast-changing world.
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Job number: 00060651891 Travel required: No Job category: Location: / Date published: Aug 30 2024 Employment type: Full-time
