AI/ML Engineer

Infoya; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A tech solutions provider in Toronto is seeking an AI/ML Engineer to develop innovative solutions in Machine Learning and Generative AI. The ideal candidate will bring over 5 years of experience in building and deploying ML models, particularly in Anomaly Detection and NLP. You will work with cloud-based ML services to enhance model operations in a dynamic and collaborative hybrid environment. Competitive salary and professional development opportunities included.

Benefits

Competitive salary and benefits package

Professional development and growth opportunities

Dynamic and collaborative work environment

Qualifications

• 5+ years of experience in developing and deploying Machine Learning models in production.
• Strong expertise in Time Series Forecasting, Generative AI, NLP, and LLMs.
• Hands-on experience with ML Ops tools and Cloud-based ML platforms (preferably on GCP).
• Solid understanding of probability, statistics, and mathematical modeling.

Responsibilities

• Develop and deploy Machine Learning models to solve real-world business challenges.
• Design and implement Generative AI solutions with a focus on NLP and LLMs.
• Utilize cloud-based ML orchestration services for scalable model deployment.
• Stay updated with the latest advancements in Generative AI, NLP, and Data Science.

Skills

Machine Learning

Generative AI

Natural Language Processing

ML Ops

Python

Time Series Forecasting

Tools

TensorFlow

Langchain

Llamaindex

Apache Beam

Pyspark

Cloud Composer

Vertex AI

AWS SageMaker

Azure ML

Job description

Seeking a highly skilled and motivated AI/ML Engineer with expertise in Machine Learning, Statistics, and Generative AI to join our team. The ideal candidate will have extensive experience in building and productionizing data science/GenAI use cases and a strong understanding of ML Ops and Cloud-based ML orchestration services.

As an AI/ML Engineer, you will be responsible for developing cutting-edge AI/ML solutions, particularly in the field of Anomaly Detection, Natural Language Processing (NLP) and Large Language Models (LLMs).

Key Responsibilities:

• Develop and deploy Machine Learning models to solve real-world business challenges.
• Design and implement Generative AI solutions with a focus on NLP and LLMs.
• Work on end-to-end ML workflows, including data preprocessing, model training, evaluation, and deployment.
• Leverage ML Ops best practices to automate and optimize model deployment, monitoring, and retraining.
• Utilize cloud-based ML orchestration services (e.g., Vertex AI, AWS SageMaker, or Azure ML) for scalable model deployment.
• Develop and analyze SQL queries for data extraction, transformation, and aggregation.
• Stay updated with the latest advancements in Generative AI, NLP, and Data Science.

Requirements

• 5+ years of experience in developing and deploying Machine Learning models in production.
• Strong expertise in Time Series Forecasting, Generative AI, NLP, and LLMs.
• Proficiency in Python and relevant ML/GenAI frameworks (e.g., TensorFlow, Langchain, Llamaindex, ADK).
• Hands-on experience with ML Ops tools and Cloud-based ML platforms (preferably on GCP).
• Strong background in developing deep learning and neural network-based models for various AI applications.
• Solid understanding of probability, statistics, and mathematical modeling.
• Experience with different types of ML modeling approaches, including supervised, unsupervised, and reinforcement learning techniques.
• Experience working with big data processing frameworks (Apache Beam, Pyspark or similar) is a plus.
• Experience with scheduling tools (Cloud Composer or similar) is a plus.
• Proactively solutioning the problems.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a diverse and talented team.
• Professional development and growth opportunities.
• A dynamic and collaborative work environment.
• Hybrid work options.