drjobs Data Engineer, AI/ML

Data Engineer, AI/ML

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Title: Data Engineer AI/ML
Location: Hybrid (3 days remote) Toronto Canada
Experience: 2 to 4 Years

Role Summary: NearSource is hiring a Data Engineer to support the development and deployment of AI/ML systems for a global enterprise in the software industry. This role is focused on building high-quality data pipelines and infrastructure to power scalable machine learning solutions.

Key Responsibilities

  • Design and maintain scalable data pipelines for ML model training inference and analytics
  • Build and optimize ETL/ELT workflows across diverse data sources
  • Prepare and version datasets for ML training and evaluation
  • Contribute to data infrastructure on AWS including S3 Glue Redshift and Athena
  • Implement and monitor data quality governance and observability practices
  • Automate workflows using orchestration tools like Airflow or AWS Step Functions
  • Collaborate with ML engineers product managers and analytics teams to define data schemas and delivery mechanisms
  • Optimize performance for high-throughput low-latency ML systems
  • Document pipelines and drive engineering best practices across ML infrastructure

Must-Have Skills

  • 2 - 4 years of experience in data engineering with exposure to ML or AI applications
  • Proficient in Python and SQL with working knowledge of Spark or PySpark
  • Experience with AWS services such as S3 Glue Redshift Athena Lambda and Step Functions
  • Hands-on with data orchestration tools like Airflow or similar
  • Familiarity with version control and CI/CD tools like Git and Jenkins
  • Strong understanding of data lifecycle versioning and governance for ML systems
  • Experience using data notebook environments such as Jupyter EMR Notebooks or Apache Zeppelin

Nice-to-Have Skills

  • Exposure to ML Ops workflows and concepts like retraining pipelines or feature stores
  • Familiarity with Delta Lake Feast or data lake house architectures
  • Understanding of containerization (e.g. Docker) or infrastructure-as-code tools (e.g. Terraform)

Certifications

  • Bachelors or Masters degree in Computer Science Engineering or a related field; equivalent practical experience will be considered.


Apply now or share your resume with salary expectations at
Thank you for considering a career with us! Once you submit your application our Talent Acquisition team will review your resume thoroughly. If theres a strong match well reach out to discuss your experience role details benefits compensation and next steps. While we strive for transparency we may not be able to respond to every applicant due to high volume but we genuinely appreciate your time and interest.

About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the worlds most admired brands working directly on long-term client initiatives.

Diversity & Inclusion: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race gender religion sexual orientation age disability or background. Innovation thrives when everyone feels empowered to contribute.

Employment Type

Full Time

Company Industry

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