Senior Applied Machine Learning Engineer - Asset Intelligence Job at MaintainX (Montreal, Toronto, Vancouver)

New

Senior Applied Machine Learning Engineer - Asset Intelligence

We are seeking a highly skilled and motivated Senior Applied Machine Learning En...

Location

United States , San Francisco

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning, Data Science, or Applied AI
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar)
Proven experience deploying production ML systems at scale
Strong background in LLMs, time-series modeling, and anomaly detection for real-world data
Demonstrated ability to lead architectural decisions, mentor engineers, and collaborate across product, data, and platform teams
Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker)
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred

Job Responsibility

Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products
Architect end-to-end ML systems—from data ingestion and feature engineering to model training, deployment, and monitoring
Mentor a growing team of ML and data engineers, instilling best practices for experimentation, evaluation, and model lifecycle management
Partner with product and engineering leaders to align AI roadmap with customer needs and business goals
Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining
Drive performance optimization through techniques like quantization, distillation, and scalable inference serving
Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence
Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO
A high impact Culture: You’ll work with Smart, Humble Optimists across the globe
Meritocratic environment where ideas and outcomes are publicly celebrated

Fulltime

Senior Artificial Intelligence/Machine Learning Modeller- Global Markets

This is an exciting opportunity to join the Barclays team in Singapore as a seas...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred)
A proven record of a strong foundation in Machine Learning, data science, and software engineering
Proven experience with Python
Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective
Champions a collaborative mindset and a drive to learn, iterate, and improve
Responsible for mentoring team members, linking up with key stakeholders, managing projects, and spearheading R&D thinking

Job Responsibility

Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets
Working closely with sales teams to identify clients' needs and develop customised solutions
In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics
Provide front office infrastructure support though ownership and maintenance of analytical libraries
Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment
Build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast

Fulltime

New

Machine Learning Engineering Manager - Asset Intelligence

We’re looking for an Engineering Manager to manage a cross-functional team of Ap...

Location

United States , San Francisco

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

4+ years of engineering management experience with at least 2+ years leading high-performing AI/ML and/or applied science teams
Experience managing teams that include Fullstack Developers, AI/ML Developers and Data Scientists
Excellent communication and storytelling skills, with the ability to influence stakeholders across technical and business functions
Knowledge of modern web development frameworks (React, Node.js) and API design
Understanding of the AI/ML stack: Python, PyTorch/TensorFlow, scikit-learn, Airflow, Spark, Kubernetes, as well as JavaScript/TypeScript
Familiarity with ML/LLM ecosystems (e.g. fine-tuning, RAG, prompt orchestration, vector DBs, LlamaIndex, or similar frameworks)
Strong product instincts—able to translate ambiguous problems into measurable experiments and data products

Job Responsibility

Lead cross-functional teams of 6–10 developers across Fullstack Developers (React/Node.js), ML Developers (Python), and Data Science
Own the roadmap & technical strategy closely with Product, Design, and Engineering to scope and help teams deliver AI-powered features
Drive a culture of experimentation, applied research, and rigorous measurement—making sure we ship models that work in the real world
Lead/Grow/Coach developers on your team, help them develop new skills/experiences, advance their careers
Understand needs for your team and help enable every developer to contribute to the team's goals
Highlight the team’s impact with senior leadership
Recruit and mentor world-class AI/ML talent, building a high-performance team that can move fast and think big

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO
A Work Culture where: You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists
We believe in meritocracy, where ideas and effort are publicly celebrated

New

Senior AI Software Engineer

The Senior AI Software Engineer (Applications Development Technology Lead Analys...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
Strong proficiency in Python, SQL
Java is a plus
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Familiarity with large language models (LLMs) and their application in agentic systems
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
Experience in designing and implementing APIs for AI services
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
Excellent analytical and problem-solving skills with a creative approach to complex challenges

Job Responsibility

Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
Utilize and contribute to agentic AI frameworks and development tools
Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services
Create comprehensive technical documentation for agent designs, implementations, and operational procedures
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Senior AI Data Engineer

The Senior AI Data Engineer (Applications Development Technology Lead Analyst - ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
Strong proficiency in Python, SQL
Java is a plus
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Familiarity with large language models (LLMs) and their application in agentic systems
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
Experience in designing and implementing APIs for AI services
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
Excellent analytical and problem-solving skills with a creative approach to complex challenges

Job Responsibility

Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
Utilize and contribute to agentic AI frameworks and development tools
Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services
Create comprehensive technical documentation for agent designs, implementations, and operational procedures
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

New

Senior Data Scientist

We are looking for a hands-on Senior Data Engineer / Data Scientist to design an...

Location

United States

Salary:

110720.00 - 138400.00 USD / Year

Bugcrowd

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science, Machine Learning Engineering, or Data Engineering
Deep experience with Python, AWS services (S3, Lambda, Batch, Glue, Bedrock, Step Functions, Redshift), and ML frameworks (Scikit-Learn, XGBoost, PyTorch, etc.)
Proven experience building end-to-end ML pipelines — from data ingestion to model deployment and monitoring
Strong understanding of LLM technologies, RAG architectures, and API integration with AI systems
Ability to design and manage data architectures for large-scale, multi-tenant environments
Experience applying ML or automation to security or operational intelligence domains
A builder’s mindset — passionate about shipping scalable, practical AI systems

Job Responsibility

Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases
Integrate Generative AI models (e.g., via AWS Bedrock, OpenAI, Anthropic) with internal APIs and security datasets to automate and augment workflows
Build and fine-tune ML models for vulnerability prediction, triage prioritization, and exploit pattern detection
Develop evaluation pipelines and feedback loops to continuously improve AI model performance and explainability
Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources
Build secure data ingestion, transformation, and storage workflows leveraging AWS (Glue, Lambda, Step Functions, S3, Redshift, Bedrock) and modern MLOps practices
Develop robust CI/CD pipelines for data and ML model deployment using AWS CDK and testing frameworks
Partner with infrastructure teams to scale AI workloads efficiently and securely across multi-tenant environments (FedRAMP, SOC2)
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation
Integrate ML and AI systems with core security platforms such as the MCP server, Bugcrowd Connect, and vulnerability intelligence pipelines

Fulltime

Director - AI

The Director -AI in Delivery leads multiple teams and managers, ensuring each gr...

Location

United States

Salary:

168400.00 - 252600.00 USD / Year

3Cloud

Expiration Date

Until further notice

Requirements

12+ years of experience delivering solutions in a primary domain such as application development, cloud platform engineering, DevOps, or data and analytics, including significant work at enterprise scale
7+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts at program scale
Proven ability to oversee delivery of complex, enterprise-scale AI/ML programs
Deep expertise across most of the following: Agents & Orchestration – leveraging Semantic Kernel, LangChain, or similar frameworks to design intelligent workflows
applying tool/function calling, planner and agent-based patterns, and workflow automation engines
Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, Pinecone, FAISS, or Milvus
applying hybrid search methods, re-ranking strategies, and selecting embedding models for accuracy and performance
Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches
using golden datasets, hallucination and groundedness validation, toxicity and safety testing
building telemetry and feedback loops

Job Responsibility

Maintain a clear view of each team member's delivery commitments, growth plans, and internal contributions
Develop and grow team members through regular coaching, clear expectations, and constructive feedback. Build a culture of trust, inclusion, and collaboration
Monitor team health, morale, and workload balance, acting early to address engagement or performance concerns in partnership with practice leadership
Maintain regular one-to-one connections with each team member, provide clear feedback, and help them remove blockers related to client work, pursuits, or internal initiatives
Oversee staffing and resource alignment across teams, balancing utilization, development goals, client needs, and sustainable workloads
Communicate practice priorities and organizational objectives clearly, ensuring teams understand how their work contributes to broader organizational goals
Define interview standards and mentorship strategies, training others to apply them consistently and improving hiring outcomes and talent growth at scale
Create and maintain development plans for team members, including stretch assignments, shadowing, certifications, and opportunities for external visibility
Lead or support performance reviews, promotion recommendations, and compensation input for your teams, using consistent standards that reflect both impact and behavior
Represent your teams in leadership forums, communicate expectations and decisions clearly back to the group, and bring forward patterns, risks, and successes that should shape practice strategy

What we offer

Flexible work location with a virtual first approach to work!
401(K) with match up to 50% of your 6% contributions of eligible pay
Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
Two medical plan options to allow you the choice to elect what works best for you!
Option for vision and dental coverage
100% employer paid coverage for life and disability insurance
Paid leave for birth parents and non-birth parents
Option for Healthcare FSA, HSA, and Dependent Care FSA
$67.00 monthly tech and home office allowance
Utilization and/or discretionary bonus eligibility based on role

Fulltime

New

Architect (Azure/Profisee) - Strategy and Governance

The Architect in Delivery is a hands-on technical lead for cloud solutions. You ...

Location

United States

Salary:

117500.00 - 176300.00 USD / Year

3Cloud

Expiration Date

February 23, 2026

Requirements

7+ years of experience in data governance, data management, in a cloud environment
Proven experience leading hybrid and remote teams and maintaining alignment, quality, and predictable delivery across time zones
Expertise in at least one major public cloud platform, with Azure strongly preferred
Deep understanding of core concepts, languages, frameworks, and design patterns in your primary domain, with the ability to apply them to build robust, maintainable systems
Experience using AI-augmented development and integrating AI or machine learning capabilities into solutions through APIs, libraries, or cloud-based AI services
2+ years with Azure technologies
Proven experience delivering governance programs
Strong understanding of data platform and analytics ecosystems
Experience with 2 or more Data Management areas: Data Warehousing and Business Intelligence, Data Science and ML, Master Data Management, Data Governance, and Data Quality Management
Experience working in Agile or Scrum environments, including backlog refinement and iteration planning

Job Responsibility

Solution Architecture and Technical Leadership
Deep experience in implementing one of the following: Profisee (MDM) to include SaaS and PaaS configurations, matching and survivorship, hierarchies, workflows, user interfaces, and data integrations (inbound and outbound)
Microsoft Purview to include data map and scanning, Unified Catalog, glossary development, data quality, data lineage, classification, and access/ownership models
Databricks Unity Catalog to include metastores design and rollout, workspaces across Dev, Test, and Prod, migration from Hive Metastore, classification and tagging and lineage
Familiarity with common enterprise data governance roles, operations, and processes
Good business acumen and communication skills for requirements gathering at broad organizational levels
Own end-to-end architecture and scope for your projects, leading teams to design and deliver Azure solutions that meet agreed goals for value, security, scalability, reliability, performance, and cost
Serve as the technical lead and subject matter expert on your engagements, guiding consultants and engineers so implementation stays aligned with the architecture and standards
Apply sound engineering practices—clear interfaces, modular design, and testability—to produce reliable, maintainable solutions in your primary domain
Provide architectural guidance throughout implementation, including design and pull-request reviews, shaping cloud patterns and guardrails and offering practical options to unblock teams

What we offer

Flexible work location with a virtual first approach to work
401(K) with match up to 50% of your 6% contributions of eligible pay
Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
Two medical plan options to allow you the choice to elect what works best for you
Option for vision and dental coverage
100% employer paid coverage for life and disability insurance
Paid leave for birth parents and non-birth parents
Option for Healthcare FSA, HSA, and Dependent Care FSA
$67.00 monthly tech and home office allowance
Utilization and/or discretionary bonus eligibility based on role

Fulltime

!

Senior Applied Machine Learning Engineer - Asset Intelligence

MaintainX

Location:
Canada , Montreal, Toronto, Vancouver

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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