Project X Ltd.

Explore 8 Jobs at Project X Ltd.

pxltd.ca

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Toronto, Ontario, CA (Hybrid)

Posted a month ago

The Senior Data Platform Engineer will modernize and strengthen an enterprise data platform built on Snowflake and AWS, establishing reusable capabilities, engineering standards, and automation. Responsibilities include developing dbt and CI/CD practices, managing infrastructure with Terraform, strengthening security and observability, improving production reliability, and providing hands-on technical leadership.

Key Details

Top Skills Required

GitHubIndependent WorkCommunication +22 more
Toronto, Ontario, CA (Hybrid)

Posted a month ago

The Consultant, IT Systems Administrator supports and maintains employee devices, company and client systems, networks, servers, and cloud services. Responsibilities include administering Snowflake and Airflow environments, deploying and supporting container platforms, monitoring network security and performance, providing day-to-day technical support, and contributing to IT projects and process improvements.

Key Details

Top Skills Required

WindowsLinux CertificationCollaboration +17 more
Toronto, Ontario, CA (Hybrid)

Posted a month ago

The Senior Data Platform Engineer will help an enterprise client evolve and strengthen its AWS-based data platform, including assessing gaps and recommending approaches for observability, orchestration, and lineage. Responsibilities include evaluating tools, building proofs of concept, developing reusable integrations and automation, applying DevOps practices, and establishing monitoring, recovery, ownership, and operational documentation.

Top Skills Required

Application Programming Interfaces (APIs)Data LineageTerraform +22 more
Toronto, Ontario, CA (Hybrid)

Posted 2 months ago

Project X Ltd. is hiring a Staff Machine Learning Engineer to design and implement production integrations between AI agents, enterprise APIs, orchestration frameworks, and managed AI services. The role involves building reliable agent-driven workflows, integrating LLM-based systems using APIs and MCP, deploying machine learning models, and contributing to architecture and system-design decisions in a client-facing environment.

Key Details

Top Skills Required

Machine Learning Model DeploymentKubernetesFastAPI +21 more
Toronto, Ontario, CA (Hybrid)

Posted 2 months ago

The Data Architect will design, implement, and oversee end-to-end data solutions that address complex business challenges and unlock value from data. Responsibilities include developing data strategy and governance, leading migration and integration projects, optimizing Snowflake and cloud data platforms, supporting AI and advanced analytics workloads, and advising clients on modern data architecture.

Key Details

Top Skills Required

Snowflake Streams and TasksStreaming AnalyticsProblem-solving +22 more
Toronto, Ontario, CA (Hybrid)

Posted 3 months ago

The Consultant, Data Scientist analyzes, processes, and models complex, unstructured data to develop actionable solutions for clients. Responsibilities include requirements and solution planning, feature engineering and model optimization, improving data pipelines, profiling data, and deploying models with feedback loops.

Key Details

Top Skills Required

Retrieval-Augmented GenerationFeature EngineeringAdaptability +22 more
Toronto, Ontario, CA (Hybrid)

Posted 3 months ago

The Consultant, Data Science role involves analyzing, processing, and modeling messy or unstructured data to create actionable solutions for clients. Responsibilities include requirements analysis, feature engineering, data pipeline and ML workflow development, model deployment, data exploration, and translating model outputs into business insights.

Key Details

Top Skills Required

CommunicationPyTorchTensorFlow +22 more
Toronto, Ontario, CA (Hybrid)

Posted 3 months ago

The Data Scientist (Machine Learning and AI) will analyze, process, and model messy, unstructured data to develop actionable client solutions. Responsibilities include feature engineering, improving data pipelines, profiling data, productionizing machine learning models, translating model outputs into business insights, and contributing to project planning and stakeholder requirements.

Key Details

Top Skills Required

PyTorchTensorFlowCuriosity +22 more

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