Posted on: 30/04/2026
Description :
1) Data Science
2) Generative AI
3) Python
4) Hands on exp on any cloud GCP, Azure, AWS .
5) Experience in the pharmaceutical/pharma domain or regulated industries
Required Qualifications :
- Hands-on experience developing GenAI / Machine Learning models and deploying them in cloud environments.
- Strong proficiency with cloud platforms and AI/ML services such as Vertex AI, BigQuery, Dataflow, Cloud Storage, and Cloud Run.
- Experience working with agentic frameworks.
- Solid understanding of Retrieval-Augmented Generation (RAG) concepts and implementation.
- Strong software engineering skills with Python, including experience with ML frameworks and API development.
- Experience designing and deploying microservices architectures and containerized applications using Docker and Kubernetes (GKE preferred).
Proven experience in MLOps, including :
- Model versioning
- Experiment tracking
- Automated training pipelines
- Feature stores
- Model registries
- Monitoring and governance
Strong data processing and analytics skills :
- SQL
- Data pipelines
- ETL/ELT processes
- Data quality and visualization support
- Good understanding of cloud security, IAM, and data privacy/compliance principles.
- Strong problem-solving, communication, and collaboration skills with the ability to work across cross-functional teams.
- Ability to translate business problems into scalable ML solutions and effectively communicate technical concepts to non-technical stakeholders.
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