Job Overview:
In this role, you will work closely with other data scientists, data engineers, business stakeholders, and other members of the technology team to build AI/ML solutions on the cloud
You will be responsible for coming up with new ideas, rapid prototyping, validating the prototype and converting it into scalable production ready deployments
Key Responsibilities
- Work with stakeholders to understand their data requirements and implement AI/ML solutions that meet their needs.
- Working across Machine Learning lifecycle - data ingestion, feature engineering, modelling, predicting, explaining, deploying and diagnosing ML models.
- Interacting with Large Language Models like GPT-4 and Google Gemini and building Generative AI applications. Applications like retrieval-augmented generation (RAG) etc
- Building applications that require prompt engineering and tuning
- Experience with continuous learning and building MLops pipelines
- Participate in discovery sessions with clients and build state-of-the-art data architectures.
- Automate data collection, processing, and reporting processes to minimize manual work and improve efficiency.
- Use the knowledge gained fr...
Ollion
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