Posted 17 days ago
Computer Vision AI / ML Engineer (Tech lead)
@ J&M Group
Canada
SIGNALS
Overview
J&M Group is hiring a Computer Vision AI/ML Engineer Tech Lead on a contract basis. The role leads computer vision and machine learning engineering work, covering data preparation, modeling and data quality. The posting asks for hands-on PySpark and SQL, and lists Microsoft Fabric and Power BI as nice to have.
Responsibilities:
- Lead computer vision and AI/ML engineering initiatives
- Support data preparation, modeling and quality processes
- Use PySpark and SQL to process and analyze data
- Guide technical delivery and ensure data quality
Requirements summary:
- Strong knowledge of computer vision and data science
- Experience in data modeling, data quality and data wrangling
- Hands-on experience with PySpark and SQL
- Technical leadership and problem-solving skills
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-25
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Data & analytics |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
J&M Group
| Field | Value |
|---|---|
| Open jobs on Jobsy | 66 |
Job description
We are hiring for a Computer Vision AI/ML Engineer Tech Lead. This role focuses on computer vision, data science, and machine learning engineering.
The ideal candidate has strong experience in data modeling, data quality, data wrangling, PySpark, and SQL.
What You Bring
The ideal candidate has strong experience in data modeling, data quality, data wrangling, PySpark, and SQL.
What You Bring
- Strong knowledge of computer vision and data science
- Experience in data modeling, data quality, and data wrangling
- Hands-on experience with PySpark and SQL
- Technical leadership and problem-solving skills
- Lead computer vision and AI/ML engineering initiatives
- Support data preparation, modeling, and quality processes
- Use PySpark and SQL to process and analyze data
- Guide technical delivery and ensure data quality
- Microsoft Fabric
- Power BI
Journal
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