Cognizant · 3 hours ago
AI Engineer
Teaneck, NJ
Full-time
Onsite
New Grad, Entry Level
$65K/yr - $65K/yrCognizant is seeking a highly skilled and innovative AI Engineer to join their AI & Data Science team. The role involves designing and developing scalable AI solutions and data pipelines, enabling advanced analytics and intelligent automation across the organization.
ConsultingIndustrial AutomationInformation TechnologySoftwareSoftware Engineering
No H1B
Responsibilities
Build, train, and deploy machine learning and deep learning models, including Generative AI (e.g., LLMs, diffusion models) and Agentic AI solutions
Perform data exploration, feature engineering, and statistical analysis to support model development
Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, images, logs) from diverse sources using Python, SQL
Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver impactful AI solutions
Develop and maintain technical documentation, data dictionaries, and model cards
Monitor, troubleshoot, and optimize AI models and data workflows for performance and scalability
Ensure compliance with data governance, security, and privacy policies
Stay current with the latest advancements in AI, Generative AI, and Agentic AI technologies
Familiarity with MLOps practices
Qualification
Required
A bachelor's or master's degree in computer science, data science, artificial intelligence, or a related discipline
A portfolio of personal projects, academic work, or contributions to open-source projects that demonstrate your AI skills
Exposure in programming skills in Python and SQL
Good problem-solving, analytical, and communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders
Knowledge with cloud AI/ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI) and Agentic frameworks (Langgraph, Lang chain, Crew.ai etc.)
Hands-on experience with at least one AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)
Understanding of core machine learning concepts, algorithms, and models (e.g., supervised vs. unsupervised learning, regression, classification, clustering)
Solid understanding of Generative AI (e.g., LLMs, GANs) and Agentic AI concepts
Familiarity with essential libraries for data science and machine learning (e.g., Pandas, NumPy, scikit-learn)
Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes)
Understanding of data security, encryption, and compliance best practices
Ability to work independently and collaboratively in a fast-paced environment
Preferred
Familiarity with MLOps practices
Benefits
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Company
Cognizant
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era.
Founded in 1994
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$0.24MKey Investors
Summit Financial Wealth Advisors
2025-03-08Post Ipo Equity
2016-11-18Post Ipo Equity· $0.24M
1998-06-19IPO
Leadership Team
Ravi Kumar S
Chief Executive Officer
Anil Cheriyan
CTO / EVP Strategy & Technology
Recent News
Hindu Business Line
2026-01-24
Hindu Business Line
2026-01-24
2026-01-24
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