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
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: 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.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: 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, provincial or local laws.
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.
