Data Engineer - AI and Machine Learning

We are hiring for our client from financial domain.

Location: Toronto, ON

Contract Duration: 6 months contract

Job Type: Hybrid ( 3 days onsite)

Key Responsibilities:

• Data Management:

• Develop robust ML and AI data pipelines for structured and unstructured data sets.

• Work with senior team members to source and understand data.

• Document acquired data and create appropriate tables and databases for data science projects.

• Ensure data accuracy through checks and balances.

Generative AI Development:

• Assist in translating business problems into code under the guidance of senior team members.

• Collaborate on feature generation for AI models.

• Implement and code data science solutions in production systems.

• Acquire data to measure the effectiveness of AI solutions.

Candidate Requirements/Must Have Skills:

1. 5-7 years experience – software developer/MLops developer/Gen AI and machine learning

2. Programming Languages: Advanced Python, SQL, and deep knowledge of Gen AI libraries.

3. Data Transformation: Advanced skills in data engineering, data quality, and required transforms for statistical modeling.

4. Database Querying: Advanced SQL, Snowflake, Databricks and exposure to spark.

5. Machine Learning: Basic understanding of machine learning algorithms and AI toolkits.

6. Statistical Analysis: Familiarity with statistical tests, distributions, maximum likelihood estimators, and statistical modeling techniques.

7. DevSecOps: Experience developing in a DevSecOps framework, including best practices for version control, code review, unit test development, monitoring, and supporting a CI/CD framework.

Education:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required. Masters degree would be an asset.