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HomeCompaniesTheapplabbSr. AI Engineer

Sr. AI Engineer

Theapplabb · Toronto, Ontario, M5G1Y8, Canada · Active · BambooHR

Job facts

FieldValue
CompanyTheapplabb
TitleSr. AI Engineer
Normalized title-
Department / teamDevelopment
LocationToronto, Canada
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-07-03 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Theapplabb.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in Development.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTheapplabb
Source8c0b0f99-5987-4689-a929-75c3b54b7ab9
ATS providerBambooHR

Description

About Us: The AppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions in production environments. You will work closely with data scientists, engineers, and product teams to build robust systems that deliver business-critical AI features. This role requires hands-on expertise in building and operationalizing machine learning models using modern ML frameworks and cloud infrastructure. What you will do? Architect, build, and deploy end-to-end ML pipelines for production workloads. Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like Cloud Composer (Airflow) on Cloud Environments (AWS, Azure, GCP) Integrate ML solutions with data warehouses like Snowflake, DataBricks or BigQuery for training and inference at scale. Collaborate with cross-functional teams to define requirements and deliver impactful AI features. Ensure CI/CD best practices for ML deployments, including monitoring, versioning, and rollback strategies. Optimize model performance and system efficiency to meet production level SLAs. What you'll need? 5+ years of experience designing and deploying production-grade ML systems at scale. Strong knowledge of PyTorch, TensorFlow, and modern ML model lifecycle management. Hands-on experience with AWS, Azure or GCP. Expertise in Kubernetes, Docker, and workflow orchestration tools such as Cloud Composer or Airflow. Proficiency with SQL and experience working with Snowflake, DataBricks or BigQuery. Solid understanding of MLOps practices: reproducibility, model monitoring, automated retraining. Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is a plus. Excellent communication and leadership skills, with a proven ability to work in collaborative teams. Competencies Experience building RAG (Retrieval-Augmented Generation) or LLM-based systems in production. Knowledge of distributed systems and streaming data pipelines. Certifications in Cloud Architectures Why Join Us? •  Work on large-scale  cloud-based data platforms  with cutting-edge technologies. • Collaborate with a dynamic, innovative, and data-driven team. • Competitive salary • Opportunities for career growth and continuous learning. Why you’ll love TheAppLabb? We are proud to be certified as a “Great Place to Work, Canada”. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAppLabb, our culture is geared towards creativity, collaboration, and flexibility. · Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.) · We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company · TheAppLabb’s strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy. At TheAppLabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status. Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at [email protected]. So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.

Full job record

Job IDa086bf7c2c2424b2e1906820b4477f7468d24610
Org IDdf01509f-410d-49e0-9118-ff0053eaba9c
Source ID8c0b0f99-5987-4689-a929-75c3b54b7ab9
Board ID8c0b0f99-5987-4689-a929-75c3b54b7ab9
Providerbamboohr
Provider Job Key223
TitleSr. AI Engineer
Normalized Title
Statusactive
Activeyes
Location TextToronto, Ontario, M5G1Y8, Canada
DepartmentDevelopment
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryCanada
Region
CityToronto
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://theapplabb.bamboohr.com/careers/223
Apply URLhttps://theapplabb.bamboohr.com/careers/223
First Seen At2026-05-30 05:57:11Z
Last Seen At2026-06-06 08:47:40Z
Last Checked At2026-06-06 08:47:40Z
Last Changed At2026-05-30 05:57:11Z
Inactive At
Source Posted At2025-07-03 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=theapplabb/date=2026-06-06/2026-06-06T08-47-40-243Z-1190a68ec28a2c08b40d61c0f6b8fb70e44350593984d9516d816c24d50b098a.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    "description": "<p><span style=\"font-weight: bold\"><span>About Us:<br></span></span><span style=\"font-weight: bold\"><span><br>The AppLabb </span></span><span>is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. We are looking for a <span style=\"font-weight: bold\">Sr. Machine Learning Engineer</span></span><span> to help translate raw data into meaningful insights that drive strategic decision-making.<br><br></span></p>\n<p><span><span style=\"font-weight: bold\">The Opportunity<br></span><br><span style=\"font-weight: bold\">Summary</span></span><span style=\"font-weight: bold\"><br></span></p>\n<p>We are seeking an experienced <span style=\"font-weight: bold\">Senior Machine Learning Engineer</span> to design, develop, and deploy scalable ML solutions in production environments. You will work closely with data scientists, engineers, and product teams to build robust systems that deliver business-critical AI features. This role requires hands-on expertise in building and operationalizing machine learning models using modern ML frameworks and cloud infrastructure.<br><br><span><span style=\"font-weight: bold\">What you will do?</span></span><br></p>\n<ul>\n<li>Architect, build, and deploy end-to-end ML pipelines for production workloads.</li>\n</ul>\n<ul>\n<li>Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow.</li>\n</ul>\n<ul>\n<li>Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like Cloud Composer (Airflow) on Cloud Environments (AWS, Azure, GCP)</li>\n</ul>\n<ul>\n<li>Integrate ML solutions with data warehouses like Snowflake, DataBricks or BigQuery for training and inference at scale.</li>\n</ul>\n<ul>\n<li>Collaborate with cross-functional teams to define requirements and deliver impactful AI features.</li>\n</ul>\n<ul>\n<li>Ensure CI/CD best practices for ML deployments, including monitoring, versioning, and rollback strategies.</li>\n</ul>\n<p>Optimize model performance and system efficiency to meet production level SLAs.<br><br><span><span style=\"font-weight: bold\">What you'll need?</span></span><br></p>\n<ul>\n<li>5+ years of experience designing and deploying production-grade ML systems at scale.</li>\n</ul>\n<ul>\n<li>Strong knowledge of PyTorch, TensorFlow, and modern ML model lifecycle management.</li>\n</ul>\n<ul>\n<li>Hands-on experience with AWS, Azure or GCP.</li>\n</ul>\n<ul>\n<li>Expertise in Kubernetes, Docker, and workflow orchestration tools such as Cloud Composer or Airflow.</li>\n</ul>\n<ul>\n<li>Proficiency with SQL and experience working with Snowflake, DataBricks or BigQuery.</li>\n</ul>\n<ul>\n<li>Solid understanding of MLOps practices: reproducibility, model monitoring, automated retraining.</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is a plus.</li>\n</ul>\n<ul>\n<li>Excellent communication and leadership skills, with a proven ability to work in collaborative teams.<br><br><span style=\"font-weight: bold\">Competencies<br></span>\n<ul>\n<li>Experience building RAG (Retrieval-Augmented Generation) or LLM-based systems in production.</li>\n</ul>\n<ul>\n<li>Knowledge of distributed systems and streaming data pipelines.</li>\n</ul>\n<ul>\n<li>Certifications in Cloud Architectures</li>\n</ul>\n<br><br></li>\n</ul>\n<p><span><span style=\"font-weight: bold\">Why Join Us?</span></span><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-weight: bold\"><span><br></span></span></span></p>\n<p><span><span style=\"color: rgb(29, 28, 29)\">• </span>Work on large-scale <span style=\"font-weight: bold\">cloud-based data platforms</span> with cutting-edge technologies.<br>• Collaborate with a dynamic, innovative, and data-driven team.<br>• Competitive salary<br>• Opportunities for career growth and continuous learning.<br></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-weight: bold\"><span><br><br>Why you’ll love TheAppLabb?<br></span></span></span><span style=\"font-family: arial, helvetica, sans-serif\">We are proud to be certified as a “Great Place to Work, Canada”. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAppLabb, our culture is geared towards creativity, collaboration, and flexibility.</span><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif\"><span>· Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)<br></span></span><span style=\"font-family: arial, helvetica, sans-serif\">· We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company<br></span></p>\n<p><span>· TheAppLabb’s strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif\">At TheAppLabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.</span><span style=\"font-family: arial, helvetica, sans-serif\"><br></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif\"><br></span></p>\n<p><span>Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at [email protected].</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif\">So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.</span></p>\n<p><br><br></p>",
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