AI Engineer

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description

We are looking for a skilled AI Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and deploy production-grade machine learning and generative AI solutions. You will be responsible for taking AI models from experimental prototypes to scalable, high-availability enterprise services using GCP’s native AI/ML ecosystem.

About the Role

We are looking for a skilled AI Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and deploy production-grade machine learning and generative AI solutions.

Responsibilities

• Model Deployment & Pipeline Architecture: Design, build, and maintain end-to-end ML and LLM pipelines using Vertex AI, Kubeflow, and Dataflow.
• Generative AI & LLM Integration: Fine-tune, evaluate, and integrate foundation models (e.g., Gemini) via Vertex AI Model Garden into application workflows using RAG architecture.
• MLOps & Infrastructure: Automate continuous integration, deployment, and monitoring (CI/CD/CT) for machine learning models using GCP infrastructure and Terraform.
• Data Engineering Collaboration: Work with data teams to optimize feature stores, data pipelines (BigQuery, Pub/Sub), and training datasets for scalable AI workflows.
• Performance & Cost Optimization: Monitor model drift, latency, and throughput in production while optimizing GCP resource utilization and infrastructure costs.

Qualifications

• Technical Skills
• GCP AI Ecosystem: Hands-on experience with Vertex AI (Pipelines, Feature Store, Model Registry, Endpoint deployment), BigQuery ML, and Cloud Run/GKE.
• Frameworks & Languages: Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, JAX).
• Generative AI Stack: Experience with orchestration frameworks (LangChain, LlamaIndex), vector databases (Vertex AI Vector Search, Pinecone, or pgvector), and prompt engineering/tuning.
• MLOps Tools: Familiarity with Docker, Kubernetes, Terraform, MLflow, or Kubeflow Pipelines.

Experience & Background

• 3+ years of professional experience in software engineering, machine learning engineering, or data science.
• Proven track record of deploying and maintaining ML/AI models in a cloud-native production environment (preferably GCP).
• Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related quantitative field (or equivalent practical experience).

Preferred Skills

• Google Cloud Certified - Professional Machine Learning Engineer or Professional Cloud Architect.
• Experience with serverless AI applications and event-driven architectures on GCP.

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Mandatory Skills: AI for Cloud Native DevOps .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.