Job Description
Key Responsibilities
- Design, build, and deploy machine learning and AI models aligned to client business use cases
- Develop end‑to‑end AI pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment
- Implement NLP, computer vision, predictive analytics, or Generative AI solutions based on project needs
- Integrate AI models into enterprise applications using APIs and microservices
- Optimize models for performance, scalability, latency, and cost efficiency
- Collaborate with product owners, architects, data engineers, and DevOps teams
- Implement MLOps practices including CI/CD, model versioning, monitoring, and retraining
- Ensure compliance with data privacy, security, and Responsible AI standards
- Contribute to reusable AI accelerators, frameworks, and best practices within Wipro
Mandatory Technical Skills
- Programming: Python (strong), working knowledge of Java is an advantage
- ML Frameworks: TensorFlow, PyTorch, Scikit‑learn
- Data Handling: Pandas, NumPy, SQL
- Modeling: Supervised & unsupervised learning, deep learning fundamentals
- Deployment: REST APIs, Flask/FastAPI, Docker
- Cloud Exposure: AWS / Azure / GCP (model hosting & pipelines)
- Version Control: Git, CI/CD tools
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Deliver
| No | Performance Parameter | Measure |
| 1. | Continuous Integration,Deployment & Monitoring | 100% error free on boarding & implementation |
| 2. | CSAT | Timely customer resolution as per TAT Zero escalation |
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Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.