Machine Learning Specialist at Tetra Tech in Vancouver, British Columbia, Canada | CAD75,000-90,000 | Kablio

Role

Description

prototypes

model optimization

hybrid modeling

gis integration

feature extraction

mlops

Create interactive client-facing prototypes and demos using tools such as Streamlit or Dash.
Optimize models for deployment, including ONNX export, GPU memory management, and real-time inference.
Work in a safe manner at all times and report all health and safety incidents and concerns.
Support knowledge transfer and grow into more independent applied AI responsibilities.
Conduct activities in line with internal procedures, legislation, and industry standards.
Integration of computer vision outputs into hybrid models with tabular ML (e.g., XGBoost-based risk prediction).
Collaborate with software engineers to integrate AI outputs into GIS and ESRI-based systems.
Develop and support AI/ML models for:
Curate, preprocess, and augment large geospatial datasets (LiDAR, UAV imagery, GeoTIFFs).
Contribute to MLOps practices: model versioning, deployment pipelines, and cloud scaling.
Train and evaluate models with a focus on reproducibility, performance, and efficiency.
Feature extraction and measurement from geospatial imagery (e.g., vegetation encroachment, asset monitoring).

Requirements

python

pytorch

azure

linux

gis

master's

Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
Knowledge of cloud platforms (Azure, AWS, GCP) and APIs (Azure AI, OpenAI).
Eagerness to learn and grow into a specialized AI/ML career.
Experience with Linux environments, scripting, and running ML workflows on servers or cloud platforms.
Ability to communicate technical insights to technical and non-technical audiences.
Experience with computer vision models: CNNs and segmentation models.
Understanding of ESRI ecosystem or GIS APIs will be considered an asset.
Applied experience with geospatial or remote sensing data is a strong asset.
1–4 years of hands-on experience with machine learning or computer vision (internships and applied academic projects count).
Semantic and instance segmentation (e.g., crack detection, erosion, pavement wear, infrastructure conditions).
Strong understanding of data preprocessing and augmentation for imagery and LiDAR.
Experience with rapid prototyping and visualization tools (Streamlit, Dash, Jupyter).
Exposure to hybrid ML approaches (e.g., XGBoost for tabular features combined with deep learning outputs).
Master’s degree in Computer Science, Data Science, Engineering, or related field. Bachelor’s degree with equivalent applied experience will also be considered.
Experience with end-to-end ML workflows: dataset preparation, training, evaluation, and deployment.
Image classification and object detection (e.g., tree hazards, traffic signs, vegetation, utilities).
Strong problem-solving skills and ability to work in collaborative, cross-disciplinary teams.
Familiarity with geospatial formats (GeoTIFF, SHP, GeoJSON, LAS/LAZ).
Familiarity with ONNX Runtime, TorchServe or TensorFlow Serving for deployment.

Benefits

We have embraced a hybrid culture. We will provide you the tools to work almost anywhere.
Overtime is calculated at 1.5 times.
Collaborative team atmosphere that values the contributions of all employees.
Mentorship with world leading experts in your field.
Learning and development opportunities for ongoing professional growth.
Flexibility and company-wide commitment to work/life balance.
Comprehensive and market-competitive benefits, available on day one of employment.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

$5B

Annual Revenue

The company generates approximately $5 billion in revenue each year.

1966

Year Founded

Established in 1966 in Pasadena, the company has grown globally over the decades.

110,000

Annual Projects

It executes approximately 110,000 projects annually across various sectors.

Top ENR

Industry Rankings

The company is highly ranked in ENR for water treatment, wind power, and hydroelectric plant engineering.

Leveraging a signature science-driven approach, it tackles complex problems in water, environmental restoration and sustainable infrastructure.
It organizes itself into government and commercial/international groups, enabling tailored expertise across public and private sectors.
Its Digital Systems division develops advanced analytics and visualization tools (like FusionMap®), supporting clients in grid reliability and AI infrastructure.
Unusual among engineering firms, it bridges traditional civil projects with cutting-edge digital and AI-enabled infrastructure solutions.

Culture + Values

Service
Value
Excellence
Opportunity
Improving lives around the world by Leading with Science®
Our workforce is diverse and includes leading experts in our fields
Encouraging our associates to explore new technologies, ideas, and business trends

Environment + Sustainability

$1B Credit Facility

Sustainability-linked financial initiative

A $1 billion credit facility tied to greenhouse gas reduction and improving lives metrics.

78% Emissions Reduction

Greenhouse gas reduction from operations

Achieved a 78% reduction in greenhouse gas emissions from operations, aligning with carbon negative targets.

100% Solar Energy

Net zero energy target achieved

Achieved net zero energy target via a LEED Platinum certified project with 100% solar energy and energy use intensity ≤ 30 kBtu/sf/year.

36% Emissions Reduction

GHG reduction per employee

Reduced greenhouse gas emissions per employee by 36% for Scope 1 and 2 compared to 2021 baseline.

Carbon negative target with UN Global Compact and SBTi alignment.
Independent verification of science-based targets in line with 1.5 °C Paris goal.
Reporting Scope 1, 2, and 3 emissions.
60% of vendor spend to commit to SBTi by 2027.
24% of business holds ISO 14001 certification for environmental management.
Net zero energy target achieved via LEED Platinum California DGS Natural Resources Headquarters project.
Sustainability-linked $1 billion credit facility tied to GHG reduction and improving lives metrics.

Inclusion & Diversity

20,400 people

STEM program engagement

The company's STEM program has engaged over 20,400 individuals, focusing on promoting participation and inclusivity in science, technology, engineering, and mathematics.

TRIR 0.37 and LWDIR 0.12

Safety performance metrics

The company achieved a Total Recordable Incident Rate (TRIR) of 0.37 and a Lost Workday Injury Rate (LWDIR) of 0.12 in 2024, representing a 54% and 60% improvement over industry averages, respectively.

Strive for achievement: committed to high performance and delivering on promises
Be open and transparent: foster a culture where people can share openly and say what they mean
Listen to and respect people: value people, listen deeply, and ensure all voices are heard and respected
Pursue curiosity and have a passion for learning: constantly aim to learn and grow through research, feedback, and reflection
Embrace diversity and collaboration: work as one team that embraces diversity and actively invites different perspectives
Indigenous engagement commitments: respect land tenure and property rights; maximize meaningful employment and business opportunities for Indigenous Peoples; engage Indigenous suppliers; provide training and youth/elder opportunities
Women’s representation: supports the Australian Human Rights Commission’s Wiyi Yani U Thangani Report; targeting structural change for First Nations women and girls

Articles

Role

Description

prototypes

model optimization

hybrid modeling

gis integration

feature extraction

mlops

Create interactive client-facing prototypes and demos using tools such as Streamlit or Dash.
Optimize models for deployment, including ONNX export, GPU memory management, and real-time inference.
Work in a safe manner at all times and report all health and safety incidents and concerns.
Support knowledge transfer and grow into more independent applied AI responsibilities.
Conduct activities in line with internal procedures, legislation, and industry standards.
Integration of computer vision outputs into hybrid models with tabular ML (e.g., XGBoost-based risk prediction).
Collaborate with software engineers to integrate AI outputs into GIS and ESRI-based systems.
Develop and support AI/ML models for:
Curate, preprocess, and augment large geospatial datasets (LiDAR, UAV imagery, GeoTIFFs).
Contribute to MLOps practices: model versioning, deployment pipelines, and cloud scaling.
Train and evaluate models with a focus on reproducibility, performance, and efficiency.
Feature extraction and measurement from geospatial imagery (e.g., vegetation encroachment, asset monitoring).

Requirements

python

pytorch

azure

linux

gis

master's

Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
Knowledge of cloud platforms (Azure, AWS, GCP) and APIs (Azure AI, OpenAI).
Eagerness to learn and grow into a specialized AI/ML career.
Experience with Linux environments, scripting, and running ML workflows on servers or cloud platforms.
Ability to communicate technical insights to technical and non-technical audiences.
Experience with computer vision models: CNNs and segmentation models.
Understanding of ESRI ecosystem or GIS APIs will be considered an asset.
Applied experience with geospatial or remote sensing data is a strong asset.
1–4 years of hands-on experience with machine learning or computer vision (internships and applied academic projects count).
Semantic and instance segmentation (e.g., crack detection, erosion, pavement wear, infrastructure conditions).
Strong understanding of data preprocessing and augmentation for imagery and LiDAR.
Experience with rapid prototyping and visualization tools (Streamlit, Dash, Jupyter).
Exposure to hybrid ML approaches (e.g., XGBoost for tabular features combined with deep learning outputs).
Master’s degree in Computer Science, Data Science, Engineering, or related field. Bachelor’s degree with equivalent applied experience will also be considered.
Experience with end-to-end ML workflows: dataset preparation, training, evaluation, and deployment.
Image classification and object detection (e.g., tree hazards, traffic signs, vegetation, utilities).
Strong problem-solving skills and ability to work in collaborative, cross-disciplinary teams.
Familiarity with geospatial formats (GeoTIFF, SHP, GeoJSON, LAS/LAZ).
Familiarity with ONNX Runtime, TorchServe or TensorFlow Serving for deployment.

Benefits

We have embraced a hybrid culture. We will provide you the tools to work almost anywhere.
Overtime is calculated at 1.5 times.
Collaborative team atmosphere that values the contributions of all employees.
Mentorship with world leading experts in your field.
Learning and development opportunities for ongoing professional growth.
Flexibility and company-wide commitment to work/life balance.
Comprehensive and market-competitive benefits, available on day one of employment.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

$5B

Annual Revenue

The company generates approximately $5 billion in revenue each year.

1966

Year Founded

Established in 1966 in Pasadena, the company has grown globally over the decades.

110,000

Annual Projects

It executes approximately 110,000 projects annually across various sectors.

Top ENR

Industry Rankings

The company is highly ranked in ENR for water treatment, wind power, and hydroelectric plant engineering.

Leveraging a signature science-driven approach, it tackles complex problems in water, environmental restoration and sustainable infrastructure.
It organizes itself into government and commercial/international groups, enabling tailored expertise across public and private sectors.
Its Digital Systems division develops advanced analytics and visualization tools (like FusionMap®), supporting clients in grid reliability and AI infrastructure.
Unusual among engineering firms, it bridges traditional civil projects with cutting-edge digital and AI-enabled infrastructure solutions.

Culture + Values

Service
Value
Excellence
Opportunity
Improving lives around the world by Leading with Science®
Our workforce is diverse and includes leading experts in our fields
Encouraging our associates to explore new technologies, ideas, and business trends

Environment + Sustainability

$1B Credit Facility

Sustainability-linked financial initiative

A $1 billion credit facility tied to greenhouse gas reduction and improving lives metrics.

78% Emissions Reduction

Greenhouse gas reduction from operations

Achieved a 78% reduction in greenhouse gas emissions from operations, aligning with carbon negative targets.

100% Solar Energy

Net zero energy target achieved

Achieved net zero energy target via a LEED Platinum certified project with 100% solar energy and energy use intensity ≤ 30 kBtu/sf/year.

36% Emissions Reduction

GHG reduction per employee

Reduced greenhouse gas emissions per employee by 36% for Scope 1 and 2 compared to 2021 baseline.

Carbon negative target with UN Global Compact and SBTi alignment.
Independent verification of science-based targets in line with 1.5 °C Paris goal.
Reporting Scope 1, 2, and 3 emissions.
60% of vendor spend to commit to SBTi by 2027.
24% of business holds ISO 14001 certification for environmental management.
Net zero energy target achieved via LEED Platinum California DGS Natural Resources Headquarters project.
Sustainability-linked $1 billion credit facility tied to GHG reduction and improving lives metrics.

Inclusion & Diversity

20,400 people

STEM program engagement

The company's STEM program has engaged over 20,400 individuals, focusing on promoting participation and inclusivity in science, technology, engineering, and mathematics.

TRIR 0.37 and LWDIR 0.12

Safety performance metrics

The company achieved a Total Recordable Incident Rate (TRIR) of 0.37 and a Lost Workday Injury Rate (LWDIR) of 0.12 in 2024, representing a 54% and 60% improvement over industry averages, respectively.

Strive for achievement: committed to high performance and delivering on promises
Be open and transparent: foster a culture where people can share openly and say what they mean
Listen to and respect people: value people, listen deeply, and ensure all voices are heard and respected
Pursue curiosity and have a passion for learning: constantly aim to learn and grow through research, feedback, and reflection
Embrace diversity and collaboration: work as one team that embraces diversity and actively invites different perspectives
Indigenous engagement commitments: respect land tenure and property rights; maximize meaningful employment and business opportunities for Indigenous Peoples; engage Indigenous suppliers; provide training and youth/elder opportunities
Women’s representation: supports the Australian Human Rights Commission’s Wiyi Yani U Thangani Report; targeting structural change for First Nations women and girls

Articles