Overview
This role is pivotal in driving the adoption and optimization of Azure AI and Machine Learning services within an organization. The individual will be responsible for the management and support of these services, ensuring their seamless operation, performance, and alignment with business objectives.
Key Responsibilities
Service Management:
+ Overseeing the lifecycle of Azure AI and Machine Learning services, including planning, deployment, configuration, monitoring, and optimization.
+ Ensuring high availability, performance, and scalability of AI/ML services.
+ Developing and maintaining detailed documentation of service configurations and procedures.
Technical Support:
+ Providing technical support and troubleshooting for AI/ML-related issues.
+ Collaborating with data scientists, developers, and business users to resolve problems efficiently.
+ Identifying and implementing solutions to improve service performance and reliability.
Infrastructure Management:
+ Managing the underlying infrastructure for AI/ML workloads, including compute resources, storage, and networking.
+ Optimizing resource utilization to maximize cost-efficiency.
+ Implementing disaster recovery and business continuity plans.
Model Deployment and Management:
+ Deploying and managing AI models into production environments.
+ Monitoring model performance and retraining as needed.
+ Integrating AI models into business applications and processes.
Team Collaboration:
+ Collaborating with data scientists, engineers, and business stakeholders to understand their needs and requirements.
+ Providing guidance and expertise on AI/ML technologies and best practices.
+ Fostering a culture of innovation and experimentation within the team.
Stay Updated:
+ Keeping abreast of the latest advancements in AI and Machine Learning.
+ Evaluating new technologies and tools to improve service capabilities.
+ Sharing knowledge and insights with the team through training and presentations.
Required Skills and Experience
Strong understanding of Azure AI and Machine Learning services, including Azure Machine Learning, Cognitive Services, and Azure Databricks. Proficiency in Python, R, or other programming languages used for data science and machine learning. Experience with cloud computing platforms and infrastructure. Knowledge of data engineering and data pipeline development. Strong problem-solving and troubleshooting skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.
Desired Qualifications
Certifications in Azure AI and Machine Learning. Experience with specific AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of DevOps practices and tools. Experience with MLOps and model lifecycle management.
#LI-CTSAPAC
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.
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes and transform experiences so they stay ahead in a fast-changing world.
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.
Job number: 00061210521 Travel required: No Job category: Location: / Date published: Oct 20 2024 Employment type: Full-time Work model: Work from Office
