19 days ago
Gurgaon, IndiaSenior / Staff+
Responsibilities
- Deliver AI solutions on Vertex AI.
- Develop machine learning, NLP, deep learning, and generative AI solutions.
- Work with Gemini, Vertex Search, Transformer models, prompt tuning, vector stores, and embeddings.
- Use GCP services including Vertex AI, Cloud Functions, Pub/Sub, and BigQuery.
- Build endpoints using Flask or FastAPI.
Requirements
- 5–14 years of total experience.
- Strong Python skills.
- Experience with TensorFlow, PyTorch, and JAX.
- Knowledge of NLP and machine learning.
- Hands-on experience with GCP services and practical experience with generative AI models.
- Knowledge of Transformer models such as BERT.
- Problem-solving and analytical skills.
- Professional ML Engineer certification is preferred.
Benefits
- Hybrid work arrangements and support for work-life balance.
- Career growth and professional development opportunities.
- Certifications and training programs in generative AI, Vertex AI, GCP, and related technologies.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.