Machine Learning Developer

Seaspan ULC; North Vancouver; On-site; CAD 105,000 - 129,000; Full time

Job summary

A leading shipbuilding company is seeking a Machine Learning Developer in North Vancouver. You will develop advanced models for vessel health monitoring and predictive analytics, optimize data workflows, and collaborate within cross-functional teams. This full-time position offers competitive compensation, a comprehensive benefits package, and job stability.

Benefits

Comprehensive health and wellness benefits

Annual bonus

Parking included

Free on-site gym

Complimentary shuttle bus service

Qualifications

• 3+ years industry experience as a data scientist or machine learning engineer.
• Experience supporting the full model development lifecycle.
• Demonstrable experience in data preparation and managing large datasets.

Responsibilities

• Develop and implement advanced machine learning models for vessel health monitoring.
• Collaborate with teams to design machine learning pipelines.
• Optimize raw data transformation into structured formats.

Skills

Proficiency in Python

Experience with Scikit-learn, TensorFlow, or PyTorch

Strong software development skills

High proficiency in SQL

Ability to write unit and integration tests

Experience in MLOps and LLMOps

Education

Post-graduate degree in a STEM field

Undergraduate or other Post-Secondary Education

Job description

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Job Description

Reporting to the Project Manager, Innovation, the Machine Learning Developer is responsible for developing and implementing advanced machine learning models for vessel health monitoring and predictive analytics. This role focuses on the entire AI / ML lifecycle, including model development, testing, deployment, and monitoring, ensuring the effectiveness and scalability of solutions.

Job Description

Reporting to the Project Manager, Innovation, the Machine Learning Developer is responsible for developing and implementing advanced machine learning models for vessel health monitoring and predictive analytics. This role focuses on the entire AI / ML lifecycle, including model development, testing, deployment, and monitoring, ensuring the effectiveness and scalability of solutions.

Note : Due to business needs, this position is required to be fully on-site based at 2 Pemberton Avenue, North Vancouver.

What You’ll Do

• Collaborates with cross-functional teams to design and build scalable data and machine learning pipelines.
• Optimizes the transformation of raw data from various sources into structured formats suitable for machine learning tasks.
• Leads, develops, and implements robust feature engineering techniques to enhance model performance.
• Leads the validation of models using rigorous testing frameworks, including unit tests and integration tests, to ensure reliability and scalability.
• Develops, deploys, monitors, and maintains machine learning models in production environments.
• Provides technical guidance and recommendations to enhance data infrastructure, machine learning workflows, and solution architecture.

What You’ll Bring

Post-graduate degree in a STEM field with 3+ years industry experience as a data scientist or machine learning engineer. Undergraduate or other Post-Secondary Education with sufficient work experience will also be considered.

Experience supporting the full model development lifecycle including definition, developing, deploying, and monitoring robust machine learning and AI algorithms.

Proficiency in Python, including experience with machine learning and deep learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.

Experience with machine learning development lifecycle including data collection, preparation, model development, validation, deployment, monitoring, and maintenance.

Strong software development skills to build efficient and scalable machine learning models and applications. This includes version control, software architecture, and design patterns.

Demonstrable experience in preparing and managing large datasets, including data wrangling, feature engineering, and ability to preprocess various data types and improve model performance and generalization.

High proficiency in SQL and experience with relational database management systems to efficiently extract, transform, and load (ETL) data for machine learning pipelines.

Ability to write high-quality unit, integration, and end-to-end tests, to ensure stability.

Knowledge and experience of standard methodologies and processes in MLOps and LLMOps, including model versioning and monitoring.

Excellent analytical, organizational, and communication skills, with the ability to work both independently and as part of a cross-functional team.

Why you’ll love working here

This is a full-time, permanent position. With multiple operations and long-term projects, Seaspan employees enjoy job stability as we look ahead to build ships for decades to come.

In addition to an annual bonus and pension plan matching, this role provides you a very competitive salary in line with the successful candidate’s experience.

We also provide the best-in-class health and wellness benefits package for this position, including things such as extended health care (i.e. paramedical services for massage therapy, speech therapy, mental health coverage, physiotherapy, and more), dental care, vision care, life insurance, medical leave coverage, parental leave coverage, childcare benefit partnership, $500 personal spending account, and an Employee Family Assistance Program (EFAP).

Free on-site gym.

Parking is included and to assist those that are using transit, we operate a complimentary shuttle bus Monday through Friday with various pick-up and drop-off points around North Vancouver.

The estimated salary for this position is $105,300 - $128,700. In determining final salary, Seaspan considers many factors including the successful Candidate’s skillset and experience as well as position location and internal equity. The final base salary offer will be at the Company’s sole discretion and presented as part of a competitive total compensation package.

About Us

Seaspan Shipyards is one of North America’s most modern shipyards and unique in its ability to provide a complete range of services including new construction, conversion, refit, repair and life-cycle maintenance work for Canada’s Coast Guard and Navy as well as commercial vessels including cruise-ships and deep-sea vessels. Seaspan Shipyards operations include Vancouver Shipyards, Vancouver Drydock and Victoria Shipyards.

To learn more, visit our website : www.seaspan.com

This position may involve defense articles and / or technical data regulated by the U.S. International Traffic in Arms Regulations (“ITAR”) and the U.S. Arms Export Control Act. In compliance with ITAR, the successful candidate will be subject to a security clearance through the Canadian Controlled Goods Program as regulated by the Controlled Goods Regulations and Defense Production Act. The successful candidate will be required to maintain their security clearance throughout their employment in this position.

Seaspan is committed to Employment Equity, supports diversity in the workplace, and encourages applications from all qualified individuals including, women, members of visible minorities, Indigenous persons, and persons with disabilities. If you require any accommodations at any stage of the recruitment process, please reach out to our Talent Acquisition team at [e-mail] for confidential support. We are committed to providing an inclusive and accessible environment.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Shipbuilding

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