Senior Software Developer - Machine Learning Specialist

About UsEli Health is at the forefront of continuous hormone monitoring, empowering users to enhance their daily and long-term health. Forget the long waits to track essential biomarkers—now you can receive actionable results in just minutes. Our flagship product, the Hormometer™, is the pioneering instant hormone monitoring platform that delivers results from saliva directly to your mobile app—anytime, anywhere.After six years of dedicated R&D, over 2,000 product iterations, and supported by numerous patent-pending innovations, Eli’s award-winning platform transforms hormones into quantifiable signals that users can track and improve. Just as thermometers and glucometers have revolutionized health management for millions, Eli’s platform is set to lead the next major advancement in monitoring changes in stress, endurance, sleep, and more.About the RoleWe are seeking a skilled Machine Learning Scientist to take the lead on enhancing our model training and deployment pipeline utilizing Data Version Control (DVC) and Google Cloud Platform (GCP) with our Python data science SDK. This position is not solely research-focused; you will play a critical role in ensuring that models train reproducibly, deploy securely, perform effectively in production, and evolve as new data and insights become available.You will work with real-world biological data, where noise, variability, and fluctuating conditions are common. In addition to managing the pipeline, you will actively engage in ongoing analyses, including calibrations, pilot studies, error analyses, and model performance evaluations, translating findings into tangible improvements.This role bridges the gap between machine learning and software engineering. You will contribute to enhancing the standards, tools, and monitoring practices necessary to ensure Eli's models are robust, traceable, and operationally reliable. Collaborating closely with technical and domain experts, you will drive improvements in model quality, proactively identify issues, and build a solid foundation for rapid, safe iterations.About YouYour commitment to technical excellence and delivering high-quality products is unwavering. You possess the judgment and ownership to exceed expectations when it truly matters.Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, or a related discipline.Minimum of 5 years of experience in building, deploying, and maintaining machine learning systems in production environments.Adept at taking full ownership and responsibility for projects.

At Stay22, we are transforming the way users convert online. Our AI-powered affiliate platform assists publishers, ticketing platforms, and content creators in generating new revenue streams while enhancing their audience's experience.Join us at Stay22, where our partners not only earn more but also provide a superior experience. Be part of a company that is fundamentally reshaping the affiliate landscape.Job SummaryYou will join the Neuro Squad, a specialized team dedicated to centralizing ML and AI innovation at Stay22. Neuro provides the technical foundations that power our core engines, including Roam (our machine learning-based redirect engine) and Spark (our AI-driven affiliate logic engine).As a Senior ML/DL Developer within the Neuro Squad, your responsibilities will include designing and architecting the intelligence behind these products. This role encompasses the entire lifecycle of our ML platforms—from training pipeline design to real-time inference API optimization.You will work with cutting-edge technologies (including LLMs) and collaborate closely with the Data team and Forge Squad to ensure our AI solutions are scalable, secure, and production-ready.

About Plusgrade Plusgrade partners with more than 250 airlines, hotel groups, cruise lines, rail networks, and financial services to help shape the future of travel. The company focuses on building new revenue streams by delivering memorable customer experiences. Ambition, innovation, and collaboration are at the heart of Plusgrade’s culture, with a strong emphasis on teamwork and shared success. Role Overview The Data Scientist position is a full-time, permanent role based in Montreal, Quebec. Plusgrade’s data science team works with a growing collection of data from products, partners, and members to develop advanced analytics, automated tools, and real-time learning systems. This collective intelligence helps drive member engagement and optimize partner programs. The Data Scientist reports to the Team Lead, Data Science, and develops scalable machine learning solutions. The role involves applying data science, analytics, and engineering skills to address business challenges, improve user experiences, and support strategic decisions across multiple products and departments. Collaboration with product managers, data engineers, and business leaders is a key part of the job. What You Will Do Design, build, and implement machine learning models for strategic business initiatives, ensuring solutions support business objectives. Work with business and data professionals to plan and deliver projects using effective machine learning approaches. Location This role is based in Montreal, Quebec.

***English version below***Travel transcends destinations; it is woven from the memories created along the way. At Plusgrade, we are committed to redefining the future of travel by partnering with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create meaningful new revenue streams through exceptional customer experiences. Grounded in our core values of ambition, innovation, and collaboration, we are continuously driven to push boundaries, exceed expectations, and harness the best of everyone. We cultivate a culture that believes our strength lies in our unity, working together to build an extraordinary future in the travel industry. Join us in transforming everyday journeys into truly remarkable experiences.ABOUT THE POSITIONAs a Machine Learning Engineer within the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to tackle complex business challenges. This role requires a strong software development background, a keen interest in cutting-edge technologies, excellent problem-solving skills, and the ability to work both independently and collaboratively in a fast-paced environment.This position reports to the Director of ML Applications.YOUR RESPONSIBILITIES:• Collaborate within a small team passionate about scaling the use of ML applications across the organization.• Productionize, scale, and commercialize state-of-the-art machine learning solutions.• Design and develop scalable and robust ML pipelines to enable predictive data usage by downstream applications, enhancing key performance indicators (KPIs) such as member engagement and revenue.• Create and implement robust processes for monitoring production ML pipelines.• Support production systems to deliver batch and real-time model predictions to all applications.• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architecture principles.• Work closely with our product, engineering, and marketing teams to develop data and ML solutions that address critical business questions.

Bounteous brings together over 4,000 professionals worldwide, partnering with ambitious brands to solve complex business challenges through digital solutions. The company’s expertise covers strategy, analytics, digital engineering, cloud, data and AI, experience design, and marketing. Bounteous works closely with leading technology providers to create digital experiences that drive customer engagement and business growth. Role overview The Data Scientist will join a dedicated machine learning team in Montreal, working on Artificial Intelligence projects. The scope includes both traditional machine learning and generative AI. This position involves close collaboration with clients and subject matter experts to transform business needs into Python-based solutions and machine learning models. What you will do Develop AI solutions using traditional machine learning and generative AI techniques Write Python code to implement business requirements Build, test, and validate machine learning models, providing clear analysis and supporting evidence Collaborate with clients and domain experts to define and refine solution requirements Support the full lifecycle of machine learning and generative AI solutions, including maintenance and performance monitoring Requirements Strong Python development skills Experience with predictive analytics and prompt engineering Understanding of the complete machine learning and generative AI lifecycle Ability to work with cross-functional teams and communicate technical concepts clearly Location This role is based in Montreal, QC.

Role overview Capco is seeking a Senior Machine Learning Engineer based in Montreal, Canada. This position centers on designing, developing, and refining machine learning models that drive data-informed decisions for clients in the financial services industry. The work covers the complete machine learning lifecycle: from experimentation and deployment to monitoring and continuous improvement. Generative AI and large language models are central to many of the solutions developed in this role. Main responsibilities Build and maintain machine learning models to address key business challenges Manage all phases of the model lifecycle, including feature engineering, tuning, evaluation, and calibration Use predictive analytics and develop queries to extract insights from complex datasets Test, benchmark, and monitor model performance over time Collaborate with stakeholders to translate business needs into scalable AI solutions Requirements Over 5 years of experience in machine learning or data science roles Strong Python programming abilities and hands-on experience building machine learning models Solid understanding of machine learning concepts, model lifecycle, and established practices Experience with large language models, generative AI, and designing queries Analytical approach and clear communication skills, comfortable working with both technical and business teams Preferred qualifications Background in wealth management or financial services (considered an asset) Knowledge of deploying, monitoring, and retraining models in production environments Experience with cloud-based AI platforms or scalable data infrastructure Familiarity with workflow automation or optimization tools Experience working within agile or cross-functional teams Why join Capco? Work on innovative solutions alongside a collaborative team Partner with recognized experts in the field Grow your career in a supportive and inclusive environment Competitive salary and benefits

Join MaintainX, the premier mobile-first Asset and Work Intelligence platform tailored for industrial and frontline settings. Our cutting-edge, IoT-driven, cloud-based solution optimizes maintenance, safety, and operational efficiency for physical assets and facilities. We empower over 12,000 organizations, including industry leaders like Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell, to achieve unparalleled operational excellence and reliability. Following a successful $150 million Series D funding round led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, positioning the company with a valuation of $2.5 billion. As we embark on our next growth phase, we are heavily investing in AI/ML, LLMs, and Industrial IoT to revolutionize frontline operations—anticipating failures before they occur, automating workflows, and integrating intelligence into every asset and process. Key Responsibilities: Design and train machine learning models for fault detection and classification using time-series sensor data, including vibration, temperature, pressure, and flow. Conduct exploratory data analysis (EDA) on various data types to extract insights and identify fault patterns. Experiment with and assess different algorithms, including time-series modeling, signal processing, and statistical methods, to enhance model performance. Work alongside domain experts to validate results and ensure practical application alignment. Document processes, experiments, and methodologies for reproducibility and knowledge sharing within the team. Participate in on-call duties as required.

About UsAt Osedea, we are a dynamic and innovative technology development company where people are at the heart of our mission. We genuinely care about our clients and the community around us, alongside fostering the personal and professional growth of our team members. We believe in the strength of community and actively seek to create meaningful connections with everyone we encounter. Diversity is celebrated in all its forms—whether it’s backgrounds, personalities, career paths, or languages. Our culture encourages innovation, learning, and storytelling that makes everyone feel welcome and included.We believe in enjoying our work and strive each day to create a more efficient and enjoyable world.Role Overview As an Applied AI Scientist at Osedea, you will be responsible for designing, developing, and deploying AI solutions that effectively address our clients' real-world challenges. You will leverage strong software engineering principles alongside hands-on expertise in AI and machine learning. Comfort in transitioning from exploratory phases to production environments is essential. You will collaborate with both technical and non-technical team members, mentor peers, and facilitate sound technical decision-making as we create enterprise-level AI solutions.

***English version below***To be considered for this role, you must be based in Montreal due to the hybrid nature of the position.The journey of travel goes beyond reaching a destination; it is woven with every memory we create along the way. At Plusgrade, we are committed to redefining the future of travel by collaborating with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create significant new revenue streams through exceptional customer experiences. Founded on our core values of ambition, innovation, and collaboration, we are constantly driven to push boundaries, exceed expectations, and harness the best of each other. We foster a culture that believes our strength lies in unity, working together to build an extraordinary future in the travel space. Join us in transforming everyday travel into truly extraordinary experiences.ABOUT THE ROLE:As a Solution Architect for the Machine Learning Applications team, you will serve as the cornerstone of our ML ecosystem. You will be responsible for designing and overseeing the deployment of innovative platform solutions that address complex business challenges. This role requires a strong background in software development, high-level problem-solving skills, and the ability to align cross-functional teams (Data Science, Data Engineering, and Enterprise Architecture).WHAT YOU WILL DO:Reporting to the Director, ML Applications, Product Intelligence, you will: • Lead end-to-end architectural design for machine learning applications, ensuring highly available, low-latency, scalable, robust, and reusable solutions. • Collaborate closely with the Data Science team to ensure models are production-ready and aligned with application requirements. • Work with the Data Engineering Architect to synchronize data pipelines, storage solutions, and feature delivery. • Collaborate with the broader architecture community within the organization to achieve consensus and ensure consistency in technology standards. • Design full-stack solutions covering both complex ML back-end logic and intuitive front-end layers. • Actively contribute to the codebase by developing key components in Python along with integration logic. • Manage technical delivery while adhering to the team's roadmap and ensuring alignment with business goals.

About the Role torcrobotics is looking for a Staff Engineer in Machine Learning with a focus on BEV (Bird's Eye View). This remote position is open to candidates in Canada, including Montreal. The role centers on building machine learning solutions that advance autonomous vehicle technology. What You Will Do Design and implement algorithms for interpreting complex data from multiple sensors Collaborate with engineers and researchers to improve the performance and safety of autonomous systems Contribute expertise in BEV techniques to support seamless system operation

Join Mistplay as a Staff Machine Learning Engineer, leading the development of cutting-edge AI solutions in the mobile gaming sector. Mistplay is recognized as the foremost loyalty application for mobile gamers, empowering millions to explore new games while earning rewards for their time and investment. Our mission is to enhance the mobile gaming experience for users globally. Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter, and Facebook. Please Note: In Canada , Mistplay follows a hybrid model of 2 days per week in-office at our locations in Toronto (400 University Ave) and Montreal (1001 Blvd. Robert-Bourassa).

CD PROJEKT RED’s Montreal studio is seeking a Machine Learning & Game Technology Architect to join the engineering team. This role centers on designing and building advanced machine learning algorithms and game technologies to enhance player experiences and support the studio’s future titles. Key Responsibilities Lead the design and implementation of machine learning solutions for game development projects. Work closely with teams across the studio to ensure new technology integrates smoothly with existing game engines. Set and uphold technical direction for projects, focusing on quality and performance. Requirements The ideal candidate brings a strong background in both machine learning and game technology. Experience collaborating with multidisciplinary teams and providing technical leadership is essential for shaping project outcomes.

CD PROJEKT RED, the studio behind The Witcher and Cyberpunk 2077, is searching for a Machine Learning & Game Technology Architect to join the Montreal team. This role centers on integrating advanced machine learning approaches into game development, aiming to create fresh and memorable experiences for players. Key Responsibilities Introduce machine learning solutions to active game development projects Collaborate with designers, artists, and engineers to develop tools and systems that enhance gameplay Contribute to technology that deepens immersion and player engagement Requirements Solid experience with machine learning Strong interest in gaming and technology Ability to work effectively with diverse teams This position is based in Montreal. CD PROJEKT RED welcomes candidates who are eager to shape the future of interactive entertainment through technology.

At MaintainX, we are revolutionizing asset and task management in industrial and frontline environments with the world's leading mobile platform. Our modern, IoT and cloud-based solutions enhance maintenance, safety, and operational efficiency for physical equipment and facilities. We empower over 12,000 organizations, including renowned names like Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, to achieve operational excellence and reliability at scale. Following our $150 million Series D funding led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, we have raised a total of $254 million, valuing MaintainX at $2.5 billion. As we embark on our next phase of growth, we are heavily investing in AI/ML, LLM, and industrial IoT to transform frontline team operations by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and procedure. The Role We are seeking a highly qualified and motivated Senior Machine Learning Engineer to drive the technical direction and architecture of our predictive maintenance and asset intelligence initiatives. You will combine deep expertise in machine learning with strong software engineering and leadership skills. You will mentor engineers, develop systems, and lead the roadmap for AI-driven maintenance intelligence across thousands of industrial sites. This position sits at the intersection of machine learning architecture, IoT data systems, and product impact, forming the cornerstone of MaintainX's predictive and generative AI strategy. Key Responsibilities: Lead the technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across all MaintainX products. Design 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 in experimentation, evaluation, and model lifecycle management. Collaborate with product and engineering leaders to align our efforts with the company's overarching goals.

MaintainX is the world's leading mobile platform dedicated to asset and task management in industrial and frontline environments. We offer a modern, cloud-based IoT solution that streamlines the maintenance, safety, and operation of physical equipment and facilities. Empowering over 12,000 organizations including Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we help them achieve operational excellence and reliability at scale. Following our Series D funding round of $150 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion. As we enter our next growth phase, we are heavily investing in AI/ML, LLMs, and industrial IoT to transform how frontline teams operate by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and process.

About the CompanyAt Torc Robotics, we believe that autonomous vehicle technology will revolutionize how we travel, transport goods, and conduct business. As a leader in autonomous driving since 2007, Torc has spent over a decade bringing innovative solutions to market in collaboration with seasoned partners. We are now part of the Daimler family, allowing us to focus exclusively on developing software for automated trucks. We aim to transform the global goods transport landscape.Join our team and propel your career within a company that has been at the forefront of autonomous driving technology. We are the first software company in this field to partner directly with a truck manufacturer.Meet the Team:Torc is advancing its AV 3.0 strategy, with Data Loop and Simulation components being critical for autonomous trucking. Our team is working on sensor simulations based on neural rendering and generative models for Torc's data-driven simulator. High-quality data from original scenarios fills the data gaps in the domain, enhancing our solutions.

Join our dynamic team at Jobs for Humanity as a Senior Machine Learning Programmer within our innovative Content Technology Group. In this role, you will leverage your expertise in machine learning to develop cutting-edge solutions that enhance content creation processes. You will collaborate with cross-functional teams to implement AI-driven strategies that impact our global audience.

Role overview Jumio seeks a Senior Machine Learning Engineer with a strong background in computer vision and biometrics. This role centers on designing, building, and scaling face recognition systems for production use. Responsibilities include developing and training models, managing their lifecycle on AWS, and advancing the maturity of Jumio’s machine learning systems. Final seniority will be determined during the interview process. Main responsibilities Design and develop advanced computer vision solutions for biometric applications, covering face attribute analysis, detection, quality assessment, and recognition. Conduct fairness assessments and benchmark biometric models across diverse datasets and operational scenarios. Build, train, and optimize machine learning models using frameworks such as PyTorch, TensorFlow, or JAX. Oversee end-to-end ML pipelines, from data ingestion through deployment. Use automated workflows (Airflow) for data collection and cleaning, curate balanced datasets, and generate synthetic data to address diversity or quality gaps. Optimize models for low-latency inference with techniques like quantization and distillation, and deploy using tools such as TensorRT and ONNX on AWS infrastructure. Mentor other ML engineers, conduct code and design reviews, and help shape best practices for the Computer Vision team. Requirements Minimum 5 years of professional experience in machine learning, with at least 3 years focused on biometrics or face analysis. Deep understanding of computer vision and biometrics, particularly face recognition technologies. Awareness of fairness and ethical issues in AI, including algorithmic bias in computer vision and experience measuring or mitigating disparate impact. Advanced engineering skills in Python and libraries such as Pillow, OpenCV, and PyTorch, with the ability to write clean, modular, production-ready code. Experience designing ML pipelines from data collection to deployment and familiarity with workflow orchestrators like Airflow. Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS). Preferred qualifications Research publications at conferences such as CVPR, ICCV, ECCV, or FG in areas like face recognition, image quality assessment, or fairness. Experience with large-scale search technologies, including vector databases (Milvus, Faiss) and approximate nearest neighbor (ANN) algorithms. Location This position is based in Montreal.

About Torc RoboticsAt Torc, we are committed to revolutionizing the landscape of autonomous vehicle technology, transforming the way we travel, transport goods, and conduct business. With a legacy of leadership in autonomous driving since 2007, we have dedicated over a decade to commercializing innovative solutions in partnership with seasoned experts in the field. As a proud member of the Daimler family, our focus is firmly on developing cutting-edge software for automated trucks, dedicated to reshaping the future of freight transportation.Join our team and advance your career with a company that pioneered the development of autonomous technology, being the first AV software company to collaborate directly with a truck manufacturer.