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Cognizant · 2 hours ago

Sr. Gen AI/ML Engineer (Onsite)

Greater Phoenix Area

Full-time

Onsite

Mid, Senior Level

$75K/yr - $100K/yr

Cognizant is a leading technology company, and they are seeking a Sr. Gen AI/ML Engineer to build and implement machine learning and generative AI solutions. The role involves model development, deployment, and collaboration with cross-functional teams to deliver AI/ML solutions that address business problems.

ConsultingIndustrial AutomationInformation TechnologySoftwareSoftware Engineering

No H1B

Responsibilities

Create predictive models using supervised, unsupervised, and semi-supervised learning techniques

Apply algorithms like regression, classification, clustering, and ensemble methods

Perform exploratory data analysis (EDA), Data preprocessing, statistical testing, and feature engineering to improve model performance

Evaluate models using metrics such as ROC-AUC, RMSE, and F1-score

Conduct hyperparameter tuning and cross-validation

Deploy models as APIs or services using Azure Kubernetes Service (AKS), Azure Functions, or App Services

Integrate models into production systems with CI/CD pipelines and monitor performance

Build GenAI applications using large language models (LLMs) like GPT, LLaMA, or Claude for tasks such as summarization, content generation, and conversational AI

Integrate LLMs into enterprise systems using Azure OpenAI, Hugging Face, or other APIs

Design and optimize prompts using techniques like few-shot learning, prompt chaining, and Retrieval-Augmented Generation (RAG)

Deploy GenAI models in containerized environments using AKS or Azure Functions

Collaborate with cross-functional teams including data engineers, analysts to deliver AI/ML solutions aligned with business goals

Use tools like JIRA to manage tasks, track progress, and ensure timely delivery of project milestones

Participate in agile ceremonies such as sprint planning, stand-ups, and retrospectives to maintain alignment and transparency

Communicate technical updates and insights effectively to both technical and non-technical stakeholders

Qualification

PythonAzure MLML/GenAI librariesLarge language modelsStatistical techniquesGenAI platformsAgile methodologiesTeam collaboration

Required

Proficient in applying statistical techniques such as descriptive statistics, probability distributions, hypothesis testing, correlation analysis, ANOVA, and linear/logistic regression for data analysis and model validation

Strong proficiency in Python and ML/GenAI libraries (e.g., scikit-learn, TensorFlow, PyTorch, Transformers, LangChain)

Hands-on experience with Azure ML and Azure OpenAI

Practical understanding of how large language models (LLMs) work, including their architecture and components

Experience working with embeddings for semantic search, similarity matching, and feature representation

Familiarity with GenAI platforms (Hugging Face, LLaMA), and vector databases (FAISS, Pinecone, Azure AI Search)