20 days ago
Base Salary
$110k - $135k/yr
Responsibilities
- Design, develop, deploy, and optimize machine learning models and Agentic AI systems for real-world business challenges.
- Collaborate with Data Science, Product, Engineering, DevSecOps, and business stakeholders to deliver scalable, secure, production-ready AI solutions.
- Build and maintain cloud-native AI applications, data ingestion pipelines, memory frameworks, and model-serving architectures.
- Implement MLOps and AgentOps practices, including automated testing, deployment pipelines, monitoring, observability, and model governance.
- Evaluate emerging technologies and apply engineering best practices across AI development projects.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.
- Experience designing, developing, deploying, and supporting machine learning applications in enterprise environments.
- Strong programming skills in Python and SQL; C++ exposure is preferred.
- Experience with TensorFlow, PyTorch, and scikit-learn.
- Knowledge of software engineering principles, APIs, microservices, testing, version control, and system design.
- Experience deploying machine learning solutions in cloud-based environments.
- Familiarity with automated deployment, model versioning, and monitoring frameworks.
- Knowledge of ETL, Spark/PySpark, distributed processing, and large-scale data environments.
- Preferred experience includes Agentic AI applications, autonomous AI workflows, ADLC, observability, LLM development tools, MLflow, Amazon SageMaker Pipelines, GitHub Actions, Jenkins, or CloudBees.
- Preferred knowledge includes model governance, explainability, drift detection, bias monitoring, AI risk management, relational databases, NoSQL databases, graph databases, statistics, probability, linear algebra, predictive analytics, and machine learning optimization.
Benefits
- Hybrid work requiring three days per week in a client or Cognizant office in New York, New York.
- Medical, dental, and vision insurance.
- Health Savings Account and Flexible Spending Accounts where applicable.
- Company-paid life insurance and disability coverage.
- 401(k) retirement savings plan with company contributions subject to plan provisions.
- Paid time off, company holidays, and leave programs.
- Employee Assistance Program and wellbeing and mental health resources.
- Professional development, training, certification opportunities, career growth, internal mobility, and associate recognition programs.
- Eligible for Cognizant’s discretionary annual incentive program.
Tech Stack
Categories
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. We build full-stack AI solutions powered by deep industry, process and engineering expertise — embedding an organization's unique context into technology systems that amplify human potential and drive tangible outcomes. From strategy to deployment, we help global enterprises move from AI ambition to AI impact and stay ahead in a fast-changing world. See how at cognizant.ai | Follow us @cognizant