Data Gen AI

Saransh Inc; Toronto; On-site; CAD 60,000 - 80,000; Part time

Job summary

A technology firm is seeking a Data Gen AI expert to work onsite in Toronto. The ideal candidate will have robust knowledge of generative AI models and experience in Azure cloud environments. Responsibilities include building microservice architecture, managing data solutions, and ensuring model performance. Strong technical skills in Python and SQL are essential. This position involves handling large-scale data processing and optimizing AI models within complex environments.

Qualifications

• Solid understanding of generative AI models and algorithms.
• Experience in data indexing, chunking, and optimizing RAG patterns.
• Experience with scaled-up release management for AI applications.

Responsibilities

• Build microservice-based architecture for Gen solutions.
• Implement scalable and efficient data processing pipelines.
• Monitor model performance, including accuracy, latency, and throughput.

Skills

Generative AI Knowledge

Release Management

Technical skills in Azure and Databricks

Microservice Architecture

Data Processing

Azure Expertise

Platform Experience

Tools

Azure cloud environment

Python

SQL

Job description

Role / Skills: Data Gen AI

Location: Toronto, ON, Canada (Onsite from Day 1)

Job Type: Contract

• Generative AI Knowledge: Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems. Preferred candidate must have experience in data indexing, chunking and optimizing RAG patterns.
• Release Management: Experience with scaled-up release management for AI applications using CICD pipelines for automated testing and deployment
• Technical skills: Experience with Azure cloud environment with Databricks, Data Factory, Storage account, Proficiency in Python programming & SQL
• Microservice Architecture: Experience in building microservice-based architecture for Gen solutions.
• Data Processing: Experience in working with large-scale data sources in complex environments and implementing scalable and efficient data processing pipelines.
• Azure Expertise: Expert knowledge in full stack Azure development, including experience with Azure cloud platforms in the context of GenAI solution development and deployment, and familiarity with common tools in data science.
• Platform Experience: Nice to have knowledge of optimizing model performance and ensuring scalability to handle expected workloads. Familiarity with LLM models deployment in the cloud environment. Ability to set up monitoring for model performance, including metrics like accuracy, latency, and throughput.