(Python Based) Lead Research Engineer

Thomson Reuters
Old Toronto
CAD 80,000 - 100,000
Job description

Employer Industry: Information Services and Technology

Why Consider this Job Opportunity:
- Hybrid work model allowing flexibility of 2-3 days in the office each week
- Comprehensive benefits including flexible vacation, mental health days off, and wellness resources
- Opportunities for personal and professional growth through learning and development programs
- Inclusive company culture recognized for diversity and work-life balance
- Chance to work on innovative projects that drive transformation in legal, tax, accounting, and compliance sectors

What to Expect (Job Responsibilities):
- Provide technical leadership and collaborate with other engineers to enhance methodologies and technology stacks
- Engage in the entire software development lifecycle, delivering high-quality solutions
- Build large-scale data processing pipelines for machine learning algorithms
- Foster a collaborative team environment while sharing information and ideas
- Communicate effectively with cross-functional partners and articulate technical developments

What is Required (Qualifications):
- Bachelor's Degree in Computer Science or a related field
- Minimum of 8 years of software engineering experience, with at least 2 years focused on machine learning products
- Proven experience leading technical workstreams within a software engineering organization
- Deep understanding of Python software development stacks and ecosystems
- Familiarity with the Python data science stack and experience with cloud platforms like AWS or Azure

How to Stand Out (Preferred Qualifications):
- Experience with integrating machine learning solutions into production-grade software
- Exposure to Natural Language Processing (NLP) tasks such as Named Entity Recognition and Information Extraction
- Hands-on experience with additional programming languages like Java or JavaScript

#InformationServices #MachineLearning #SoftwareEngineering #DiversityAndInclusion #CareerGrowth

"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."

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