Data Architect AI & ML (Onsite) Full-time

Title : Data Architect with AI & ML (Onsite)

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 the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

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 Within AI & Analytics, we work to design the future – a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.

Location: Des Moines, Iowa (Onsite)

Job Summary

We are seeking a highly skilled Sr. Architect with 11 to 14 years of experience in AI and ML technologies. The ideal candidate will have expertise in MLFlow Jenkins Airflow Generative AI Azure Databricks Azure Data Factory Vertex Domino Azure ML Studio ML Ops Docker AI and ML Concepts Machine Learning Artificial Intelligence Kubernetes Terraform Azure Machine Learning and GIT. This role requires proficiency in English and is based in our office with a day shift schedule.

Responsibilities

• Lead the design and implementation of AI and ML solutions using cutting-edge technologies.
• Oversee the development and deployment of machine learning models on Azure Databricks and Azure ML Studio.
• Provide technical guidance on the use of MLFlow Jenkins and Airflow for continuous integration and delivery.
• Implement and manage ML Ops practices to ensure efficient model lifecycle management.
• Develop and maintain data pipelines using Azure Data Factory and Vertex.
• Utilize Docker and Kubernetes for containerization and orchestration of AI and ML applications.
• Apply Terraform for infrastructure as code to manage cloud resources.
• Collaborate with cross-functional teams to integrate AI and ML solutions into existing systems.
• Conduct research and development on generative AI techniques to enhance product offerings.
• Ensure the scalability and reliability of AI and ML systems through rigorous testing and validation.
• Mentor junior team members and provide training on AI and ML best practices.
• Stay updated with the latest advancements in AI and ML technologies and incorporate them into projects.
• Communicate effectively with stakeholders to understand requirements and deliver solutions that meet business needs.

Qualifications

• Possess a strong background in AI and ML concepts with hands-on experience in machine learning and artificial intelligence.
• Demonstrate proficiency in using MLFlow Jenkins and Airflow for CI/CD processes.
• Have extensive experience with Azure Databricks Azure Data Factory and Azure ML Studio.
• Show expertise in ML Ops practices and tools for managing the ML lifecycle.
• Be skilled in containerization using Docker and orchestration with Kubernetes.
• Have experience with infrastructure as code using Terraform.
• Exhibit strong problem-solving skills and the ability to work collaboratively in a team environment.
• Possess excellent communication skills in English both written and spoken.
• Be able to mentor and guide junior team members effectively.
• Stay current with industry trends and advancements in AI and ML technologies.
• Have a proven track record of delivering high-quality AI and ML solutions.
• Demonstrate the ability to work independently and manage multiple projects simultaneously.
• Show a commitment to continuous learning and professional development.

Certifications Required

Azure AI Engineer Associate AzureML Data Scientist

Salary and Other Compensation:

The annual salary for this position is between $140,000 – $ 150,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Summary

We are seeking a highly skilled Sr. Architect with 11 to 14 years of experience in AI and ML technologies. The ideal candidate will have expertise in MLFlow Jenkins Airflow Generative AI Azure Databricks Azure Data Factory Vertex Domino Azure ML Studio ML Ops Docker AI and ML Concepts Machine Learning Artificial Intelligence Kubernetes Terraform Azure Machine Learning and GIT. This role requires proficiency in English and is based in our office with a day shift schedule.

Responsibilities

• Lead the design and implementation of AI and ML solutions using cutting-edge technologies.
• Oversee the development and deployment of machine learning models on Azure Databricks and Azure ML Studio.
• Provide technical guidance on the use of MLFlow Jenkins and Airflow for continuous integration and delivery.
• Implement and manage ML Ops practices to ensure efficient model lifecycle management.
• Develop and maintain data pipelines using Azure Data Factory and Vertex.
• Utilize Docker and Kubernetes for containerization and orchestration of AI and ML applications.
• Apply Terraform for infrastructure as code to manage cloud resources.
• Collaborate with cross-functional teams to integrate AI and ML solutions into existing systems.
• Conduct research and development on generative AI techniques to enhance product offerings.
• Ensure the scalability and reliability of AI and ML systems through rigorous testing and validation.
• Mentor junior team members and provide training on AI and ML best practices.
• Stay updated with the latest advancements in AI and ML technologies and incorporate them into projects.
• Communicate effectively with stakeholders to understand requirements and deliver solutions that meet business needs.

Qualifications

• Possess a strong background in AI and ML concepts with hands-on experience in machine learning and artificial intelligence.
• Demonstrate proficiency in using MLFlow Jenkins and Airflow for CI/CD processes.
• Have extensive experience with Azure Databricks Azure Data Factory and Azure ML Studio.
• Show expertise in ML Ops practices and tools for managing the ML lifecycle.
• Be skilled in containerization using Docker and orchestration with Kubernetes.
• Have experience with infrastructure as code using Terraform.
• Exhibit strong problem-solving skills and the ability to work collaboratively in a team environment.
• Possess excellent communication skills in English both written and spoken.
• Be able to mentor and guide junior team members effectively.
• Stay current with industry trends and advancements in AI and ML technologies.
• Have a proven track record of delivering high-quality AI and ML solutions.
• Demonstrate the ability to work independently and manage multiple projects simultaneously.
• Show a commitment to continuous learning and professional development.

Certifications Required

Azure AI Engineer Associate AzureML Data Scientist

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

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.