Principal Architect- AI/ML

Cognizant (NASDAQ: CTSH)is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of theNASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500and we are among the top performing and fastest growing companies in the world.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics:Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Responsibilities

• Deep knowledge of mathematics, probability, statistics and algorithms, Data Structures, Big data , Multi-threaded programming and distributed computing
• Experience in machine learning and data mining techniques and algorithms, specializing in one or more of the following areas: Exploratory Data Analysis (EDA), Data distribution analysis, Statistical analysis , Supervised/Unsupervised/Reinforcement learning , predictive modeling, time series analysis/forecasting, recommendation Engine & Optimization, text mining/natural language processing, computer vision , Image and Video analytics
• Demonstrated experience developing best practices and recommendations around tools/technologies for Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches , Model monitoring and tuning.
• Experience in Building analytics solutions and developing algorithms for machine learning, statistics, mathematical programming, and simulation
• Extensive experience on the workflow and pipeline architectures of Machine learning and Deep Learning workloads.
• Experience in advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML /Deep Learning frameworks & techniques
• Extensive experience with implementing artificial intelligence , machine learning & Deep learning systems design and performance analysis models, algorithms, and tools.
• A track record of delivery of several large-scale AI ML projects from Requirement Analysis until production deployment
• Experience in AI/ML operations and automation of various approaches as part of the Model Life Cycle Development
• Experience in Building and delivering technical design and reference architecture as it relates to AI & Machine Learning
• Experience in end-to-end ML/DL Architecture Engineering
• Programming in any one of the following platforms - R, Java, Scala, Python, Spark
• Experience with AI, Machine Learning & Deep learning on Cloud Analytics Services such as AWS SageMaker, Azure ML, Google VertexAI & Databricks ML
• Experience in Python and basic libraries for machine learning such as Scikit-learn, Pandas, SciPy, Gensim and Numpy; deep learning frameworks especially TensorFlow, Pytorch and Keras.
• Good understanding software application architecture and develop integration approaches for predictive models
• Ability to understand system integration aspects of integrating model input and output in transactional systems to help real time decision making

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Salary and Other Compensation:

The annual salary for this position is between $[170,000 - 190,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits 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.

Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.

Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Jun 05 2023

About Cognizant

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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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