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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:
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.
- 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
- 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
Key Skills
Ranked by relevance
ai
cloud
machine learning
natural language processing
deep learning
tensorflow
composer
big data
python
apache
sql
aws
gcp
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- Posted
- Dec 18, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Toronto
- Company
- Infoya
Industries
IT Services
IT Consulting
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Junior AI/ML Engineer
2026-06-16
Full-time
Entry
United States
IT Services
Engineering
View Job Details
Related
Senior Scrum Master
2026-02-18
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IT Services
Information Technology
View Job Details
Related
Machine Learning Engineer
2026-06-16
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