Data-Driven AI Solutions Engineer

4 days ago


Toronto, Ontario, Canada NearSource Full time

We are seeking a highly skilled Data-Driven AI Solutions Engineer to join our team at NearSource Technologies. This role requires a strong background in artificial intelligence and machine learning, with expertise in building and deploying models using TensorFlow and Python-based libraries.

About the Role

This is a senior-level position that involves designing and optimizing large-scale data pipelines, implementing scalable AI solutions on cloud platforms like AWS, and leveraging big data tools such as Hadoop and Spark/PySpark to manage and process large datasets efficiently.

Key Responsibilities
  • Develop and train machine learning models, including large language models (LLMs) and retrieval-augmented generation (RAG) pipelines.
  • Implement efficient data sourcing in real-time applications using RAG architectures.
  • Collaborate with cross-functional teams to integrate LLMs into production environments and power intelligent features like chatbots, recommendation systems, and knowledge extraction tools.
Requirements

To be successful in this role, you will need:

  • A minimum of 5-8 years of hands-on experience in AI/ML engineering roles.
  • Proficiency in Python, with strong experience in libraries like Pandas and frameworks like TensorFlow.
  • Hands-on experience with building and deploying models, including LLMs and RAG architectures.
  • Experience with AWS (e.g., SageMaker, Lambda, EC2, S3).
  • Advanced SQL skills and expertise with Hadoop and Spark/PySpark for large-scale data processing.
  • Proven experience with data pipelines, feature engineering, and big data tools.
Salary and Benefits

The estimated salary for this position is around $160,000 per year, depending on location and experience. NearSource Technologies offers a competitive benefits package, including health insurance, retirement savings plan, and paid time off.



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