**Role Overview:
As an AI/ML & Generative AI Developer, you will be responsible for building and implementing machine learning and generative AI solutions that address business problem. You’ll work on developing models and integrating AI capabilities into scalable cloud-native applications using Azure. This role requires strong programming skills, practical experience with ML/GenAI frameworks, and a passion for innovation.
Key Responsibilities:**
- Model Development
- Create predictive models using supervised, unsupervised, and semi-supervised learning techniques.
- Apply algorithms like regression, classification, clustering, and ensemble methods.
- Data Analysis & Feature Engineering
- Perform exploratory data analysis (EDA), Data preprocessing, statistical testing, and feature engineering to improve model performance.
- Model Evaluation & Tuning
- Evaluate models using metrics such as ROC-AUC, RMSE, and F1-score.
- Conduct hyperparameter tuning and cross-validation.
- Model Deployment
- 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.
- Generative AI Development
- 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.
- Prompt Engineering
- Design and optimize prompts using techniques like few-shot learning, prompt chaining, and Retrieval-Augmented Generation (RAG).
- GenAI Deployment
- Deploy GenAI models in containerized environments using AKS or Azure Functions.
- Team Collaboration:
- 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.
Required Technical Skills:**
- 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).
Please note this role is not able to offer visa transfer or sponsorship now or in the future
Salary and Other Compensation:
Applications will be accepted until Feb16, 2026.
The annual salary for this position is between $75,000 - $100,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:**
- 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
Disclaimer: The salary, other compensation, and benefits 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.