Data Engineer, AI/ML

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

• Bachelor's or Master's 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 [email protected].

Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll 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 world's 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.