Data Sciences GCP Vertex AI

Job description:

Role: GCP Vertex AI Engineer

All LTI location

Exp - 5 - 12 years of handson experience with Generative AI AI ML and Data Science technologies.

Job Details:

Extensive handson experience in implementing end to end projects utilizing GenerativeAI.

Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components

Extensive handson experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc

Experience in working with structured as well as unstructured data for building RAG based solutions

Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as managed large language models Preferred GCP but other cloud experience can be considered

Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc

Experience with agent frameworks such as Google ADK Langgraph CrewAI etc

Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc

Experience with AIML deep learning TensorFlow Python NLP

Excellent understanding of Generative AI related concepts methodologies and techniques

Responsibilities for Data Scientist

Work with stakeholders to identify opportunities for leveraging data to drive business solutions

Mine and analyse data from databases to drive optimization and improvement of product development and business strategies

Assess the effectiveness and accuracy of new data sources and data gathering techniques

Develop custom models and algorithms to apply to data sets

Use predictive modelling to increase and optimize customer experiences

Coordinate with different functional teams to implement models and monitor outcomes

Analyse large amounts of information to discover trends and patterns

Build predictive models and machinelearning algorithms

Present information using data visualization techniques

Good to have a knowledge of ML lifecycle and model governance

Develop and Deploy advanced Generative AI large language models Azure OpenAI Machine Learning and Deep Learning Modelsalgorithms to enhance andor automate existing business processes with predictive and intelligent decision making content aggregation and contextualized insights

Have experience in developing productionlevel Gen AI solutions by utilizing Azure OpenAI services

Familiar with prompt engineering retrievalaugmented generation Llama index Vector DB and finetuning of opensource LLMs

Qualifications for Data Scientist

Looking for someone with 68 years of experience manipulating data sets and building statistical models having bachelors or masters degree in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following softwaretools

Experience using statistical computer languages R Python etc to manage data and draw insights from large data sets

Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks XGBoost KNN SVM ANN etc

Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications

Knowledge and experience in statistical and data mining techniques GLMRegression Random Forest Boosting Trees text mining social network analysis etc

Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modeling clustering decision trees neural networks etc

Experience visualizingpresenting data for stakeholders

Experience with Snowflake will be an added advantage

Experience in deployment of machine learning models using cloud technologies

Skills:

Mandatory Skills : GCP, Vertex AI, Data Sciences, Pythong, Cloud