Junior AI Engineer with python experience to develop RL agents for water treatment related appl[...]

S.i. Systems; Regina; Remote; CAD 70,000 - 90,000; Full time

Job summary

A leading company is seeking a Junior AI Engineer to develop AI systems for enhancing their software offerings. The ideal candidate will have Python and Reinforcement Learning expertise, along with experience in AI solutions and collaborative cross-functional teamwork. This remote position within Canada is perfect for those looking to advance their career in AI engineering.

Qualifications

• 3+ years' experience as an AI Engineer developing with RL or LLM solutions.
• 2+ Years experience with AWS and Docker.
• Working knowledge of Test-Driven Development.

Responsibilities

• Developing AI systems and tools for software offerings.
• Researching and designing new solutions to AI/ML problems.
• Owning the AI development lifecycle from data preparation to model deployment.

Skills

Python

Reinforcement Learning

NumPy

Torch

IoT

Timeseries data manipulation

AWS

Docker

MLOps

Test-Driven Development

Education

BS or above in Computer Science, Data Science, AI Engineering

Job description

Our client is looking for a Junior AI Engineer with python experience to develop RL agents for water treatment related applications

This role is % remote within Canada

Nice to have :

• 3+ years' experience as an AI Engineer developing with Reinforcement Learning (RL) agent solutions or developing solutions with Large Language Models (LLM) or Retrieval Augmented Generation (RAG)
• 3+ years' experience developing with Python
• NumPy library experience
• Torch or other gradient tracking tensor math library experience
• 2+ Years IoT and Timeseries data manipulation
• 2+ Years AWS cloud and / or Docker
• 2+ Years using MLOps
• Experience using AI for industrial process control
• Working Knowledge of Test-Driven Development

Nice to have :

• BS or above in Computer Science, Data Science, AI Engineering or technical equivalent

Responsibilities :

• Developing AI systems and tools for use in Turing’s software offerings.
• Researching and designing new solutions to AI / ML / DS problems as needed.
• Educating and knowledge sharing AI research with a cross-functional team consisting of software development, engineering, and business domain experts.
• Learning Domain knowledge as necessary and working with SMEs to develop high quality problem definitions.
• Owning the AI development lifecycle inclusive of preparing data for use in AI systems, exploratory data analysis, model development, model deployment and implementation, monitoring, and maintenance.
• Collaboration with a globally distributed team that is remote and spread across various time zones.