At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!
This role focuses on designing and maintaining robust data and machine learning pipelines using Airflow machine learning and ML Ops practices. The professional will create secure and scalable generative AI solutions collaborate with cross functional partners and optimize deployment workflows to deliver high quality intelligent products that support business objectives and broader societal impact.
Qualifications:
- +5 years of experience as Machine Learning Engineer
- Experience with Airflow and ML Ops practices is a must
- ADVANCED ENGLISH IS A MUST
- Hybrid role in any of our 4 locations in Mexico: CDMX, Guadalajara, Monterrey or Queretaro
Responsibilities
• Design and maintain complex Airflow workflows that orchestrate reliable data ingestion transformation and model training pipelines for critical business applications.
• Develop and optimize scalable generative AI models that can be integrated into existing platforms to enhance user experiences and deliver measurable value.
• Implement ML Ops practices that standardize model versioning packaging deployment and rollback to ensure resilient production operations.
• Build automated monitoring and alerting for data quality feature drift and model performance so that potential issues are detected early and resolved quickly.
• Collaborate with data engineers data scientists and product teams to translate analytical concepts into production grade machine learning services.
• Refine and tune machine learning models using appropriate techniques so that predictions remain accurate fair and relevant over time.
• Create reusable components for data preprocessing feature engineering and model serving that reduce duplication and accelerate project delivery.
• Document architecture decisions coding standards and operational runbooks in a clear and maintainable way for future team use.
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!
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
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.
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.
