15 days ago
Gurgaon, IndiaMid Level
Responsibilities
- Develop and deliver AI and machine learning solutions on Vertex AI.
- Use TensorFlow, PyTorch, JAX, NLP, Transformer models, and generative AI technologies.
- Work with GCP services including Vertex AI, Cloud Functions, Pub/Sub, and BigQuery.
- Apply prompt design and tuning, vector stores, and embeddings.
- Build application endpoints using Flask or FastAPI.
Requirements
- Strong Python skills.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, and JAX.
- Knowledge of NLP and machine learning.
- Hands-on experience with GCP services including Vertex AI, Cloud Functions, Pub/Sub, and BigQuery.
- Practical experience with generative AI models including Gemini and Vertex Search.
- Familiarity with prompt design and tuning, vector stores, and embeddings.
- Ability to build endpoints using Flask or FastAPI.
- Proven experience delivering AI solutions on Vertex AI.
- Knowledge of Transformer models such as BERT.
- 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, and Google Cloud.
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.