Machine Learning Engineer, Predictive Maintenance Job at MaintainX (Montreal)

Machine Learning/AI Research Engineer

Machine Learning/AI Research Engineer position focusing on advancing renewable o...

Location

Ireland , Galway; Dublin

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD degree (or Master's with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning
Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer
Strong software development skills in Python and Pytorch
Strong application experience of Machine Learning with physical systems
Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
A strong science or engineering background with aptitude for system level analysis and modeling
Deep understanding of the relevant environment, ecosystem, trends, and literature
Excellent research and development skills
Ability to innovate, make research contributions, and bring ideas to reality in compelling ways

Job Responsibility

Develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications
Work with large scale computing frameworks, data analysis systems, and modeling environments
Use machine learning and statistical modeling techniques to improve product/system performance
Formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into code
Apply, optimize and scale deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations
Document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics
Provide thought leadership and technical influence internally and externally
Take innovative ideas and make them real – contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer
Collaborate with Hewlett Packard Labs' research teams and external partners

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Senior Engineer Manager - AI/ML

Senior Engineer Manager role in AI/ML at Hewlett Packard Enterprise, focusing on...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years' experience including 5 or more years of people management experience
Advanced Degree (Master's or Ph.D.) strongly preferred
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Proven ability to manage multiple projects and priorities in a fast-paced environment
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools
Proficiency in programming languages such as Python or R

Job Responsibility

Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data
Uses machine learning and statistical modeling techniques to improve product/system performance
Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms
Applies, optimizes and scales deep learning technologies and algorithms
Documents procedures for installation and maintenance
Contributes to translating customer requirements into AI/ML products and solutions
Develops and drives the organization's AI and machine learning strategy
Leads and manages a team of AI and machine learning professionals
Oversees complex AI and machine learning projects from conception to deployment
Provides technical leadership and guidance to the team

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

New

Machine Learning Engineer, Predictive Maintenance

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platfo...

Location

Canada , Montreal

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

Strong foundational knowledge in machine learning, data science, and statistical modeling
Familiarity with time-series modeling techniques and feature engineering
Experience in deploying machine learning models on real-world use cases and continuously improving the model performance with feedback
3+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc.
Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on condition monitoring or machine learning applications

Job Responsibility

Develop and train machine learning models for fault detection and classification based on time-series sensor data
including vibration, temperature, pressure, flow etc.
Perform exploratory data analysis (EDA) on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies
Experiment with and evaluate various algorithms, including time-series modeling, signal processing, and statistical methods, to optimize model performance
Collaborate with domain experts to validate findings and ensure alignment with real-world applications
Document workflows, experiments, and methodologies to ensure reproducibility and knowledge sharing across the team
On-call duties

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

Manager, Machine Learning

The Machine Learning team at Viant is revolutionizing the Ad Tech industry with ...

Location

United States , Irvine; Los Angeles

Salary:

190000.00 - 220000.00 USD / Year

Viant

Expiration Date

Until further notice

Requirements

4+ years of experience in machine learning
At least 1+ years leading and scaling high-performing teams
Bachelor’s degree in Computer Science, Engineering, or a related field
Master’s degree preferred
Strong expertise in developing and applying machine learning models for real-world business applications
Proven ability to deliver results at scale through innovation and operational excellence
Exceptional problem-solving skills and the ability to tackle challenges not previously solved in the industry

Job Responsibility

Provide day-to-day technical leadership for the Machine Learning team
Lead the end-to-end development, deployment, monitoring, and maintenance of machine learning models
Coach, mentor, and grow machine learning engineers and scientists
Apply advanced ML techniques to solve problems such as supply prediction, campaign performance modeling, and incremental value measurement
Partner closely with Product and Engineering stakeholders to scope work and deliver actionable insights
Drive continuous innovation by exploring and adopting new modeling methods, tools, and approaches
Take on direct hands-on work including model building, analysis, and MLE tasks

What we offer

Fully paid health insurance
Paid parental leave
Unlimited PTO

Utilities Engineer

The Utilities Engineer is responsible for managing and maintaining total site ut...

Location

Ghana , Tema

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Self mastery in electrical/electronics, Mechanical and utility engineering systems
BSc Mechanical Engineering
Computer literate – Master in Excel and Power Point Presentations
Must be conversant with Biomass and Oil Fed Boilers and supervised or operated boilers with at least 4-5-years working experience
Risk assessment, Hazop in the boiler house and process safety
Water treatment and boilers systems
Air compressors and diagnostics systems
Practical experience for industrial site utility systems
Consistent hands-on experience in manufacturing processes
Familiarity with a variety of concepts, practices, and procedures of FMCGs

Job Responsibility

Manage the utility technical crew team on site
Lead as the competent technical person for utility systems and programs on site, ensuring that all relevant safety objectives and legal requirements are observed across site
Liaises with area engineers and production managers to ensure steam, water, compressed air, cooling tower and chilled water is released to factory on need basis
Supervises and coordinates activities of workers engaged in maintaining plant utility systems, such as cooling tower and chilled water systems, heating, ventilating, water supply system, steam generating system, compressing air units, effluent treatment plant, and its related pipe and structural systems
Inspect above systems to determine preventative maintenance needs
Manages contracts for servicing & maintenance of above systems
Schedules, coordinates and provides field supervision of activities and staff responsible for utilities operations functions
Determines and keeps inventory of critical parts/items to facilitate maintenance of these systems and related buildings, while keeping stocks value in check
Ensures On-site management of third-party service providers/suppliers of relevant services related to steam are kept and payments are affected
Leads the preparation of plans, specifications, administration of contracts for the maintenance of utility generation & distribution and wastewater systems

Fulltime

Principal Applied Scientist

What if your job description were simply “make tomorrow better?” Every day at Mi...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

MS/BS in CS/EE, mathematical or machine learning related disciplines, with 10 or more years of experience
Solid understanding of probability, statistics, machine learning, data science
A/B testing & analysis of ML models, and optimizing models for accuracy
Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models
End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production
Experience implementing machine learning algorithms or research papers from scratch

Job Responsibility

Design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets
Collaborate with top machine learning scientists and engineers in delivering direct business impact
Building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems

Fulltime

New

Senior Applied Machine Learning Engineer - Asset Intelligence

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

Location

Canada , Montreal, Toronto, Vancouver

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

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

Machine Learning Engineer, Predictive Maintenance

MaintainX

Location:
Canada , Montreal

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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Job Description:

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Job Posted:February 18, 2026

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