Data Scientist

Role: Full Stack Developer -AI\_GenAI

Location: Remote (Toronto, ON based client)

Overview

We're seeking an experienced full stack developer to join our AI Automation team, focusing on designing and implementing AI/ML/GenAI solutions. This role combines technical leadership with hands-on development, requiring expertise in cloud platforms and artificial intelligence technologies.

Key Responsibilities

• Design and architect end-to-end AI/ML solutions using GCP/Azure cloud platforms

• Lead technical teams in implementing AI/ GenAI automation solutions

• Accountable for removing roadblocks to delivery

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions

• Provide technical guidance to refine business requirements by deeply understanding customer needs and proposing impactful solutions.

• Provide technical guidance and mentorship to development teams

• Develop proof-of-concepts and prototype solutions

• Create and maintain technical documentation and solution architectures

• Evaluate new AI/ML technologies and recommend adoption strategies

Required Qualifications

• 7+ years of experience in software architecture and development

• Proven experience with GCP and/or Azure cloud platforms

• Strong background in AI/ML solution development and implementation

• Strong experience in evaluating and utilizing LLMs and up to date with the latest evolutions in the GenAI space

• Experience leading technical teams and managing complex projects

• Expertise in modern software development practices and methodologies

• Strong problem-solving and analytical skills

• Excellent communication skills with ability to explain complex technical concepts

• Managerial experience a plus

Technical Skills:

• Cloud Platforms: GCP (BQ, Looker), Azure

• AI/ML Technologies: Machine Learning frameworks, GenAI platforms

• Software Architecture: Microservices, API design, distributed systems

• Development: Hands-on coding experience in relevant programming languages, React, NodeJS

• Experience using Data store on cloud, Vector db, embeddings

• DevOps: CI/CD, Infrastructure as Code

Preferred Qualifications

• Cloud certifications (GCP Professional or Azure Solutions Architect)

• Experience with large-scale AI/ML deployments

• Background in data engineering and analytics

• Agile methodology experience

• Open-source contributions