Python with (AI, ML and GENAI)
Skillset : Python, Agentic AI, Artificial Intelligence and Machine Learning (AIML) combined with Generative AI (GenAI)
Must have Gen AI experience minimum 2+yrs of experience.
The resource should have prior experience leveraging Copilot or Claude for code generation..
Implements distributed ML experimentation and training platform for firm-wide use in accordance with the requirements and architecture.
Implements and supports tools and workflows to facilitate machine learning experiments, automated training runs, and production deployments.
Extends machine learning libraries and frameworks to support complex experimentation, training, and serving requirements.
Delivers thoughtful data scientist experience with APIs and SDKs for the firm-wide machine learning platform.
Collaborates with infrastructure engineering, product management, and security and compliance teams to deliver tailored, robust solutions.
Required qualifications, capabilities, and skills
Formal training or certification on machine learning concepts and 3+ years applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability
Overall knowledge of the Python Software Development Life Cycle
Programming skills in Python and experience with ML frameworks and libraries such as Ray, TensorFlow, PyTorch, Scikit-Learn, etc.
Knowledge of model development processes and lifecycle in an ML environment.
Hands-on experience with public cloud technologies, especially with AWS, in the context of ML engineering workflows - featurization, experimentation, training, evaluation, deployment, serving, and monitoring.
Preferred qualifications, capabilities, and skills
Knowledge of Big Data and related technologies such as Hadoop, Spark, and Airflow.
Knowledge of SageMaker, EMR, and AWS ML stack.
Knowledge of Kubernetes ecosystem, including EKS, Helm Charts, and Custom Operators.
Strong experience implementing DevOps practices using tools such as Docker, Jenkins, Spinnaker, and Terraform
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.
Applicants must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for this position.
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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
