AI Engineer, ML

Client Name: StevenDouglas
End Client Name: RBC

Job Title: AI Engineer/ML
Location: Toronto ON
Work Type: Hybrid
Job Type: Contract (1 year)
Rate: CAD 100/hour on c2c

The Vendor is very specific about the keywords to be there in the resume and the title should match the LinkedIn of the candidate for every project. He does CTRLF to check.

Notes:

• CANDIDATES MUST ALREADY BE IN CANADA
• The manager will consider relocation for candidates who are already in Canada and are currently legally able to work in Canada now.
• Candidates must have Long Projects/Good Tenure Excellent communication skills and a State issued ID (Not Bills) showing they are Local.
• Required Location: Hybrid Toronto ON - 3 days a week.
• Interview Required: Video
• Candidates must be LOCAL to the Hybrid Toronto ON area and COMMUTE into the office THREE TIMES A WEEK.
• RELOCATION in CANADA CONSIDERED.

Job Description:
*** We need: A mid to senior (5 years) ML/AI Engineer with experience in creating solutions for Generative AI advancement. THIS POSITION IS FOR A SHARP HANDS-ON CODER WITH MASTERY OF Python SQL PySpark MLflow AND experience building end to end Data & ML pipelines covering data ingestion transformation feature engineering model development and tuning evaluation deployment and inference. Candidates need In depth knowledge of Algorithms and Data Structures and distributed computing. ****CANDIDATES SHOULD HAVE WORKED FOR LARGE WELL KNOWN COMPANIES AND HAVE DEGREES FROM GOOD SCHOOLS. THE MANAGER IS LOOKING FOR PEDIGREE AS MUCH AS CODING SKILLS. RELOCATION IS CONSIDERED FOR CANDIDATES ALREADY IN CANADA.

*** CANDIDATES MUST ALREADY BE IN CANADA THE MANAGER WILL CONSIDER RELOCATION FOR CANDIDATES WHO ARE ALREADY IN CANADA AND ARE CURRENTLY LEGALLY ABLE TO WORK IN CANADA NOW.

**Candidates must have Long Projects/Good Tenure Excellent communication skills and a State issued ID (Not Bills) showing they are Local.

*** Please make sure that each submittal includes:

1. Drivers license or State ID

2. Link to the candidates LinkedIn account.

3. Below submittal Format

*** Candidate Must Haves on a resume and for submittal:

1. How many years working with: AI Engineer/ML

2. How many years working with: Python SQL PySpark MLflow

3. How many years working with: ML pipelines covering data ingestion transformation feature engineering model development and tuning evaluation deployment and inference

4. How many years working with: Algorithms and Data Structures

*** Please provide all the below Submittal Format details with each submittal. It is required for the client Management system.

Full Name:

Rate:

Location:

Availability to Interview: One Days notice

Availability to Start:

Email Address:

Phone Number:

Visa Status:

Education - College/Year of graduation:

Link to LinkedIn

Certifications (Please list)

Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is looking to hire a Data & AI Engineer to build manage and deploy cutting edge Data and AI solutions for Investment Research Banking Sales and Trading.
What will you do

• Build data products using structured and unstructured data from traditional and alternative sources to deliver actionable signals and insights for Investment Research Banking and Global Markets.
• Provide subject matter expertise in distributed and parallel computing. Analyze ML and data processing workloads to identity latency contributors inefficient compute utilization and provide remediation recommendations.
• Contribute to automation efforts via CI/CD pipelines infrastructure-as-code and reusable frameworks

What do you need to succeed
Must Have

• Python SQL PySpark MLflow
• Degree in Computer Science or Engineering
• In depth knowledge of Algorithms and Data Structures and distributed computing.
• Experience building end to end Data & ML pipelines covering data ingestion transformation feature engineering model development and tuning evaluation deployment and inference.

Nice to Have

• Experience with Azure Databricks Spark Snowflake Kubernetes
• Exposure to Generative AI stack (LLMs Agents MCP Servers)