AI/ML Engineer

5 days ago

Toronto, Ontario, Canada Infoya Full time

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

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