Data Scientist1. Detailed JD - Develop and implement Generative AI / AI solutions on Google Cloud Platform
Work with cross-functional teams to design and deliver AI-powered products and services
Work on developing, versioning and executing Python code
Deploy models as endpoints in Dev Environment
Must Have Skills
Solid understanding of python
Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX
Experience with natural language processing (NLP) and machine learning (ML)
Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc
Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc
Familiarity with Prompt Design and prompt tuning for Generative AI models
Ability to work on Vector Data Stores, custom embeddings and generate insights based on embeddings
Exposure and familiarity in developing endpoints and frameworks like Flask or FastAPI
Exposure and familiarity in using BigQuery (Basic understanding)
Hands-on experience with using LangChain - Chain of Thoughts, tools, simple and sequential chain
Strong communication and teamwork skills
Good to Have Skills
Excellent problem-solving and analytical skills
Prior experience with developing conversational apps/chatbots
Prior experience of working in Media domain & recommendation systems
Qualifications and Prior Experience
4-6+ years of experience in AI development
Experience with Google Cloud Platform specifically delivering an AI solution on VertexAI platform
Experience in developing and deploying AI Solutions
Experience with Bert and Transformer models
Experience with Agile development
Certifications and Trainings completed
Professional Machine Learning Engineer (
https://cloud.google.com/learn/certification/machine-learning-engineer)
Generative AI learning Path on https://partner.cloudskillsboost.google/
2. Primary Skill Gen AI, Vertex AI, GCP
3. Grade C1/C2
4. Location Constraint (if any) No
