Software Engineer (AI Model Deployment)

Greybridge Search & Selection; Canada; On-site; CAD 100,000 - 130,000; Full time

Job summary

An innovative tech company is seeking a Senior Research Engineer to spearhead the deployment of cutting-edge machine learning solutions. This role focuses on leveraging advanced AI technologies, particularly in LLM and NLP, to create impactful software. You'll lead teams, design scalable data pipelines, and ensure high-quality software delivery in a fast-paced environment. If you're passionate about driving innovation and shaping the future of AI, this opportunity is perfect for you. Join a dynamic team committed to excellence and make a significant impact in the world of technology.

Qualifications

• 3+ years of software engineering experience, including 2+ years in machine learning projects.
• Experience in building data pipelines and deploying ML models.

Responsibilities

• Lead development and guide teams in best practices for ML solutions.
• Design scalable data pipelines for machine learning research.

Skills

Python

Machine Learning

Data Science Libraries (NumPy, Pandas, scikit-learn)

Cloud Platforms (AWS, Azure)

DevOps

NLP

Problem-Solving

Education

Degree in Computer Science or related field

Tools

AWS

Azure

Job description

Direct message the job poster from Greybridge Search & Selection

We are partnering with a rapidly growing tech business that is looking for several Research / Software Engineers to join on a 6-month FTC (with likely extension). The salary range for these positions is approximately $100-130k CAD, depending on experience, or an hourly rate option.

Our client is a specialist AI company with a strong reputation for building cutting-edge Machine Learning solutions, primarily focusing on LLM deployment. Therefore, we are looking for AI Software Engineers experienced in Python for deploying LLMs and leading small teams.

About the Role:

Our client is seeking a Senior Research Engineer to drive innovation and technical excellence in machine learning solutions.

The main focus is to deploy LLM & NLP Data Science models into production following best practices in MLops.

• Lead Development: Provide technical leadership, guiding teams in best practices and evolving the technology stack.
• Build ML Solutions: Design scalable data pipelines to support advanced machine learning research and deployment.
• Deliver High-Quality Software: Apply modern development methodologies to build, test, and deploy reliable solutions.
• Collaborate & Innovate: Work within a dynamic, cross-functional team environment, sharing ideas and driving new approaches.
• Ensure Agility: Adapt quickly to changing requirements and contribute to a fast-paced, high-impact development process.

About You:

The ideal candidate will have:

• A degree in Computer Science or a related field.
• At least 3 years of software engineering experience, including 2+ years in machine learning projects.
• Experience in building pipelines.
• Strong Python development skills, with familiarity with data science libraries like NumPy, Pandas, and scikit-learn.
• Knowledge of integrating machine learning models into scalable systems.
• Experience with cloud platforms such as AWS or Azure.
• Deep understanding of automation, DevOps, and system monitoring.
• Strong problem-solving skills and the ability to mentor and lead teams.
• Familiarity with NLP, probabilistic models, and modern MLOps practices is a plus.

If you’re passionate about building impactful ML solutions and leading technical initiatives, we’d love to hear from you. We are also hiring across all levels of AI Research Engineering, from Senior to Manager, so please let us know if you are interested in other positions.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Engineering

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