Job Summary
Join our dynamic team as a Data Scientist where you will leverage your expertise in machine learning and artificial intelligence to drive impactful solutions. With a focus on Azure Open AI Service and deep learning you will contribute to innovative projects that enhance our companys offerings and societal impact. This hybrid role offers the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to deliver data-driven insights.
Responsibilities
- Analyze complex datasets using advanced statistical methods to uncover actionable insights that drive business decisions and improve outcomes.
- Develop and implement machine learning models using Python TensorFlow and PyTorch to solve real-world problems and optimize processes.
- Collaborate with cross-functional teams to design and deploy AI-enabled chatbots and natural language processing solutions that enhance user experience.
- Utilize Azure Open AI Service and Cloud AutoML to streamline model deployment and ensure scalability and efficiency in operations.
- Conduct exploratory data analysis (EDA) to identify trends and patterns that inform strategic planning and decision-making.
- Implement ML Ops practices to automate workflows and ensure seamless integration of machine learning models into production environments.
- Leverage knowledge graphs to enhance data connectivity and improve information retrieval processes.
- Design and execute experiments using R Statistical Package to validate hypotheses and refine models for better accuracy.
- Integrate OpenCV for computer vision applications that enhance product offerings and drive innovation.
- Optimize search engine performance through strategic SEO practices to increase visibility and engagement.
- Develop and maintain data pipelines using Airflow to ensure reliable and efficient data processing and transformation.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements and solutions.
- Provide technical expertise in artificial intelligence and deep learning to guide project development and execution.
- Stay updated with industry trends and advancements in AI and machine learning to continuously improve skills and contribute to company growth.
Qualifications
- Demonstrate proficiency in Python and R for statistical analysis and model development.
- Possess strong experience in Azure Open AI Service and Cloud AutoML for efficient model deployment.
- Have a solid understanding of machine learning frameworks such as TensorFlow and PyTorch.
- Exhibit expertise in natural language processing and AI-enabled chatbot development.
- Show capability in conducting exploratory data analysis and implementing ML Ops practices.
- Display knowledge in computer vision applications using OpenCV.
- Have experience in optimizing search engine performance through SEO strategies.
Certifications Required
Certified Data Scientist Azure AI Engineer Associate TensorFlow Developer Certificate
Why Cognizant?
Improve your career in one of the largest and fastest growing IT services providers worldwide
Receive ongoing support and funding with training and development plans
Have a highly competitive benefits and salary package
Get the opportunity to work for leading global companies
We are committed to respecting human rights and build a better future by helping your minds and the environment
We invest in people and their wellbeing.
We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.
At Cognizant we believe than our culture make us stronger!
Join us now!
#BeCognizant #IntuitionEngineered
Igualdad de Empleo y Política de Acción Afirmativa:
Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.
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 300,000+ 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.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. 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 characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
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.