CrawlJobs Logo
T
Thrive Career Wellness Inc · IT - Software Development

Machine Learning Engineer

Canada, Toronto 130000.00 - 150000.00 USD / Year · Job Posted February 24, 2026
Apply Position
Job Link Share

Job Description

We are seeking a talented and experienced Machine Learning Engineer to join our growing AI team at Thrive. This role will play a critical part in designing and implementing LLM agents, architectures, and machine learning models that power Thrive’s AI-driven career guidance platform. You will work on applied AI solutions that enable personalized, intelligent career experiences for job seekers, leveraging cutting-edge approaches in agentic frameworks, reinforcement learning, and large language models. If you are passionate about applied AI research, enjoy solving complex problems involving sequential decision-making, and want your work to have real-world social impact, this is the role for you.

Job Responsibility

  • Design, develop, and evaluate LLM agents and agentic frameworks, including reinforcement learning and sequential decision-making approaches
  • Research and implement multi-agent architectures to coordinate and deploy AI agents effectively
  • Train, fine-tune, and optimize machine learning models for production deployment
  • Build and iterate on MVPs and client-facing AI solutions in collaboration with cross-functional teams
  • Conduct applied research on large language models, focusing on understanding and addressing model limitations
  • Stay current with advancements in LLMs, agentic frameworks, and machine learning research
  • Communicate technical concepts clearly to non-technical stakeholders through presentations, documentation, and client discussions
  • Write clean, maintainable, production-quality code following best practices for version control and documentation

Requirements

  • 3–7+ years of experience in machine learning engineering or applied AI research
  • Graduate degree (M.S. or Ph.D.) in Computer Science, Machine Learning, or a related engineering field
  • Proven ability to translate research concepts into production-ready systems
  • Strong Python proficiency and experience with ML frameworks such as PyTorch, TensorFlow, LangChain, and Pydantic
  • Hands-on experience working with large language models and real-world applications
  • Familiarity with Linux environments, Git, and software engineering best practices
  • Strong communication skills with the ability to explain complex technical topics to diverse audiences
  • Must be legally eligible to work in Canada

Nice to have

  • Publication record in peer-reviewed conferences or journals related to LLMs, agentic frameworks, or reinforcement learning
  • Hands-on experience with agent frameworks such as LangGraph, Agenta, DSPy, or CrewAI
  • Knowledge of context engineering techniques and frameworks
  • Experience designing and deploying multi-agent systems
  • Background in HR tech, career services, or workforce development
  • Demonstrated project ownership and leadership experience

What we offer

  • 3 weeks paid vacation
  • Health insurance & wellness coverage
  • Yearly Learning & Development Allowance
  • Yearly Workspace Allowance
Thrive Career Wellness Inc - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Machine Learning Engineer

8 matching positions

Machine Learning Engineer

Are you a passionate Machine Learning Engineer with a strong background in SageM...
Location
Location
United States , Ashburn
Salary
Salary:
10.00 USD / Hour
maxiomtech.com Logo
Maxiom Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred)
  • Proven experience in developing and deploying machine learning models using Amazon SageMaker
  • Strong background in prompt engineering techniques for fine-tuning LLM models
  • Proficiency in programming languages such as Python for model development and experimentation
  • Solid understanding of natural language processing concepts and techniques
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker
  • Experience with data preprocessing, feature engineering, and data augmentation
  • Problem-solving skills to diagnose and address model performance and data-related issues
  • Excellent communication skills to collaborate effectively within multidisciplinary teams
  • Ability to adapt to evolving technologies and learn quickly in a fast-paced environment
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker
  • Utilize your expertise in prompt engineering to craft effective inputs for LLM models to achieve desired outputs
  • Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy
  • Design and implement experiments to evaluate model performance, iteratively improving results
  • Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques
  • Identify and troubleshoot issues related to model performance, data quality, and integration
  • Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring
  • Collaborate with software engineers to integrate machine learning solutions into our applications
  • Document your work, best practices, and findings to share knowledge across the team
What we offer
What we offer
  • Opportunity to work on cutting-edge projects that push the boundaries of AI technology
  • Collaborative and inclusive work environment that values innovation and creativity
  • Access to resources and support for continuous learning and professional growth
  • Competitive compensation package and benefits
  • Fulltime
Read More
Arrow Right

Data / Machine Learning Engineer

Inetum is in the midst of a strategic project to develop our competences in the ...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of 2 years' experience as a Machine Learning Engineer or related position
  • Proficiency in Python and experience with ML frameworks (e.g. TensorFlow, PyTorch)
  • Knowledge of mathematics and statistics, including linear algebra, differential calculus and probability
  • Experience of working with large datasets and their processing and analysis
  • Familiarity with cloud tools and platforms, such as Azure Machine Learning or Google Vertex AI
  • Ability to work in a team and communicate with technical and non-technical stakeholders
Job Responsibility
Job Responsibility
  • Design, development and implementation of machine learning models and AI systems in cloud environments (Azure, Google Cloud)
  • Creating and maintaining data pipelines: from data extraction and cleaning to feature engineering and preparing data for modelling
  • Selection of appropriate ML algorithms and their implementation and optimisation in the context of specific business problems
  • Collaborating with Data Science, Data Engineering and Software Development teams to integrate models into production systems
  • Monitoring model performance, conducting A/B testing and updating models in response to changing data and requirements
  • Keeping abreast of the latest ML trends and technologies and proposing innovative solutions
What we offer
What we offer
  • Flexible working hours
  • Hybrid work model
  • A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
  • Generous referral bonuses, offering up to PLN6,000 for referring specialists
  • Fulltime
Read More
Arrow Right

AI and Machine Learning Engineer

We are seeking AI/ML & Innovation Engineer who will be leading initiatives acros...
Location
Location
Puerto Rico , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Master’s degree is desirable
  • Typically, 2-4 years’ experience
  • A solid understanding of mathematics, including linear algebra, calculus, and probability theory
  • Proficiency in programming languages such as Python, R, or Java
  • Knowledge of relevant libraries and frameworks like TensorFlow, PyTorch, scikit-learn, or Keras
  • Experience with SQL for data manipulation and database querying
  • Understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
  • Experience in Cloud Infrastructure (AWS, Azure, etc)
  • Knowledge of Open Source, Linux, etc
Job Responsibility
Job Responsibility
  • Design, develop, and implement machine learning models and algorithms
  • Prepare and pre-process large datasets for machine learning tasks
  • Train machine learning models using appropriate algorithms and frameworks
  • Collaborate with cross-functional teams
  • Contribute to design review sessions
  • Deals with real-world datasets
  • Provides feedback to peers
  • Contribute to stand-up meetings
  • Prepare comprehensive presentations and reports
  • Interpret and report data findings
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...
Location
Location
United States , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 7-10 years’ experience
  • Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
  • A strong foundation in mathematics and statistics
  • Proficiency in programming languages such as Python, R, or Java
  • Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
  • Experience in Cloud Infrastructure (AWS, Azure, etc)
  • Knowledge of Open Source, Linux, etc
  • Understanding of Devops, SRE
  • Advanced knowledge and experience in deep learning
Job Responsibility
Job Responsibility
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
  • Develops, implements, and optimizes machine learning models and algorithms
  • Deploys machine learning models into production environments
  • Monitors the performance of deployed models
  • Organizes and leads comprehensive design review sessions
  • Works collaboratively with the engineering manager and team lead to set design and implementation standards
  • Regularly leads meetings
  • Has experience in providing technical leadership, mentorship, and guidance to junior team members
  • Develops and delivers strategic presentations and reports to senior stakeholders
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer

The Machine Learning Engineer is a practitioner and advocate of state-of-the-art...
Location
Location
Portugal , Oporto; Lisbon; Funchal; Ponta delgada
Salary
Salary:
Not provided
https://www.tui.com Logo
TUI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in designing, implementing, deploying and using various AI models and algorithms
  • Experience in deploying AI solutions (e.g. CI/CD pipeline, API development, containers)
  • Strong programming skills in Python
  • Understanding of machine learning/AI frameworks and libraries
  • Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
  • Experience with SQL and/or Snowflake
  • Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
  • Proficiency in data preprocessing and feature and/or prompt engineering
  • Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
  • Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies
Job Responsibility
Job Responsibility
  • Deliver solutions that challenge the status quo, taking full responsibility for your AI solutions from design to operation
  • Collaborate with your team to enable AI engineering skills and capabilities across TUI Group
  • Research, evaluate, and test new approaches, processes, and tools
  • Participate in Communities of Practice and collaborate on shared initiatives
  • Build and maintain self-build segmentation models
  • Lay the foundation for data science driven decision making and personalised offers
  • Deliver innovative and inspiring customer experiences in TUIs digital channels
What we offer
What we offer
  • Attractive remuneration
  • Bonus opportunity
  • Exclusive travel perks & discounts
  • Extensive health & wellbeing support
  • Flexible working models
  • Opportunities to upskill, reskill and grow your career
  • Access to TUI Tech Learning Hub
  • Participation in tech communities and collaboration on global projects and teams
  • Involvement with local charity and sustainability initiatives
  • Fulltime
Read More
Arrow Right

AI and Machine Learning Engineer

This role involves designing, developing, and optimizing AI and machine learning...
Location
Location
United States , Spring
Salary
Salary:
79700.00 - 183200.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • 0-2 years’ experience
  • Proficiency in programming languages such as Python, R, or Java
  • Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn
  • A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods
  • In-depth knowledge of machine learning algorithms, techniques, and concepts
  • Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis
  • Experience with SQL and databases and data visualization tools like Matplotlib or Tableau
Job Responsibility
Job Responsibility
  • Designs, develops and implements AI and machine learning models
  • Gathers and analyzes relevant data sets to train and test machine learning (ML) models
  • Optimizes algorithms and models to improve their performance
  • Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts
  • Keeps accurate and up-to-date AI and machine learning project documentation
  • Prepares reports and presents findings or recommendations to stakeholders
  • Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders
  • Actively seeks and incorporates feedback from the engineering manager or team leader
  • Attends daily or weekly stand-up meetings
  • Prepares and delivers detailed presentations and reports to stakeholders
What we offer
What we offer
  • Comprehensive health & wellbeing benefits
  • Investment in personal & professional development
  • Inclusive work environment celebrating individual uniqueness
  • Flexibility to manage work and personal needs
  • Fulltime
Read More
Arrow Right

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise, responsible...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Master's degree is desirable
  • Typically 5-7 years' experience
  • Deep understanding of machine learning algorithms (linear regression, decision trees, support vector machines, random forests, deep learning models, reinforcement learning)
  • Strong foundation in mathematics and statistics (linear algebra, calculus, probability theory)
  • Proficiency in programming languages such as Python, R, or Java
  • Experience with version control systems (e.g., Git)
  • Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, Keras
  • Proficiency in using agentic frameworks like langGraph
  • Knowledgeable in lineage tracking of agentic architectures
Job Responsibility
Job Responsibility
  • Conduct advanced research in AI and machine learning
  • Stay up to date with latest advancements in the field
  • Explore emerging technologies
  • Identify opportunities to apply cutting-edge techniques
  • Evaluate traditional AI/ML and Gen-AI based applications
  • Design solutions considering scalability, performance, and maintainability
  • Provide technical guidance and mentorship to junior team members
  • Work with stakeholders to understand requirements and translate into technical solutions
  • Collaborate with cross-functional teams
  • Drive continuous improvement and innovation
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive benefits suite supporting physical, financial and emotional wellbeing
  • Career development programs
  • Fulltime
Read More
Arrow Right

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise focusing on ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Master's degree is desirable
  • Typically 5-7 years' experience
  • Deep understanding of machine learning algorithms such as linear regression, decision trees, support vector machines, random forests, deep learning models, and reinforcement learning
  • Strong foundation in mathematics and statistics including linear algebra, calculus, probability theory, and statistical concepts
  • Proficiency in programming languages such as Python, R, or Java
  • Experience with software engineering best practices, version control systems, and software development methodologies
  • Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
  • Proficiency in using agentic frameworks like langGraph or similar frameworks
  • Knowledge in lineage tracking of agentic architectures
Job Responsibility
Job Responsibility
  • Conduct advanced research in AI and machine learning
  • Stay up to date with latest advancements in the field
  • Explore emerging technologies and identify opportunities to apply cutting-edge techniques
  • Evaluate traditional AI/ML and Gen-AI based applications during development phase and in production
  • Design solutions considering scalability, performance, and maintainability
  • Provide technical guidance and mentorship to junior team members
  • Collaborate with cross-functional teams including product managers, data scientists, and business analysts
  • Drive continuous improvement and innovation in AI and machine learning practices
  • Evaluate and integrate third-party tools or services
  • Facilitate design review sessions
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Fulltime
Read More
Arrow Right