Learning Advisor

Role Overview BrainStation is hiring a Learning Advisor in Toronto. This role helps professionals build digital skills through BrainStation’s courses, programs, and workshops in fields such as AI, data, design, technology, marketing, and product management. Learning Advisors support BrainStation’s growth both in-person in Toronto and online for a global audi…

About the RoleAs a Learning Advisor at BrainStation, you will play a pivotal role in empowering professionals to enhance their careers through world-class digital skills training. Our innovative courses and workshops cover AI, data, design, technology, marketing, and product management. You will support the growth of BrainStation’s offerings both in-person in Toronto and online worldwide. If you are passionate about technology and education and are eager to democratize learning, this is the perfect opportunity for you.ResponsibilitiesInspire and guide professionals in advancing their careers in technology.Engage in revenue-generating activities, including outbound calls, emails, and video conferencing with potential students.Foster community through our renowned thought leadership events.Utilize our cutting-edge revenue platforms to learn and implement best practices.Collaborate with product, learning design, and experience teams to create tailor-made digital learning solutions.Cultivate and maintain strong relationships with industry partners and community leaders seeking digital skills training.

Join our dynamic team at Spectrum Healthcare as a Learning Designer on a contract basis! In this role, you will leverage your expertise to create engaging and effective learning experiences that meet the diverse needs of our learners. You will collaborate with various stakeholders to design and implement innovative learning solutions that enhance knowledge retention and skill application.

“Transform every logistics journey into a remarkable experience”Company Overview:Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.Role Overview:Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.Key Responsibilities:- Design and implement scalable systems for deploying deep learning and reinforcement learning models.- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.- Leverage GPU computing to enhance model training and inference efficiency.- Develop and manage production workflows for the training and deployment of machine learning models.- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.- Monitor and enhance the performance of machine learning models in production.- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

As a Learning and Development Manager at Cohere, you will play a pivotal role in shaping the future of our workforce. You will lead initiatives that promote a culture of continuous learning and professional growth across the organization. This position involves designing and implementing effective training programs, assessing employee development needs, and fostering a collaborative environment that encourages knowledge sharing.Your responsibilities will include collaborating with leadership to align learning strategies with business goals, utilizing innovative training methodologies, and evaluating the effectiveness of training initiatives. We are looking for a strategic thinker with a passion for developing talent and enhancing employee engagement.

About UsAgentis Capital Advisors stands at the forefront of global financial advisory services, recognized for its commitment to providing exceptional value and strategic insight to clients. Our accolades include the prestigious 2024 P3 Awards Financial Advisor of the Year, various 2023 industry deal awards, and distinctions such as Proximo Infra's 2022 North American Financial Advisor of the Year and IJGlobal's 2022 Judge's Choice Award. Our differentiation lies in our core principles and our capacity to deliver substantial value for our clients. We serve as trusted advisors on both sell-side and buy-side transactions across a spectrum of sectors, including renewable energy, digital services, transportation, and public-private partnerships. Our esteemed clientele comprises leading infrastructure funds, pension funds, contractors, and government entities.Agentis Capital Advisors operates as a key segment of Agentis Capital Partners, which boasts a cohesive platform across several areas: principal investments, financial advisory and asset management, mining advisory, and capital markets.Your RoleAs the Vice President, you will spearhead Agentis’ Digital Infrastructure financial advisory practice in North America. Your mission will involve securing and managing Digital Infrastructure advisory mandates, executing multiple projects simultaneously, mentoring and expanding a team of professionals, and delivering tailored, high-quality services to our clients. This position demands strategic thinking, robust leadership capabilities, comprehensive knowledge of the infrastructure finance sector, and proficiency in deal management and execution.Key Responsibilities:Establish Agentis as the leading independent financial advisor within the North American infrastructure sector.Cultivate and nurture relationships with top-tier infrastructure investors engaged in the Digital Infrastructure domain (e.g., data centers, fiber networks, telecommunications).Identify and pursue advisory opportunities in Digital Infrastructure for both private and public sector clients.Ensure excellence in technical delivery through oversight of financial modeling, due diligence, and transaction execution.Lead transaction teams to effectively carry out Digital Infrastructure advisory assignments.Grow the Digital Infrastructure advisory team by recruiting junior members and providing training.

Join bree as a Machine Learning Engineer, where you will be at the forefront of cutting-edge technology, developing algorithms and models that drive innovation. Collaborate with a dynamic team to enhance machine learning frameworks and contribute to impactful projects that transform data into actionable insights.

Role Overview Spectrum Healthcare is seeking a Senior Manager, Learning & Development to help shape how employees grow and learn across the organization. This position is based in Toronto. What You Will Do Design and develop training programs that strengthen employee skills and knowledge Work closely with different teams to understand their learning needs Implement training solutions that support performance and engagement Promote a culture where continuous learning is valued and encouraged About Spectrum Healthcare Spectrum Healthcare delivers a range of health services and is committed to supporting its workforce through ongoing development and training.

Affinity integrates billions of data points from extensive datasets to craft a precise and powerful depiction of the global professional relationship graph. Our users gain essential insights and visibility to cultivate and leverage opportunities within their teams' networks. The position is part of the AI Platform team, responsible for the AI services that drive Affinity's premier relationship intelligence platform. Our work involves extracting and retrieving information from vast amounts of structured and unstructured data to provide actionable insights to our clients. As a Senior Machine Learning Engineer, you'll collaborate closely with data engineers, software engineers, and product managers to shape the future of the leading CRM platform in private capital. Your role will involve designing and building AI systems that efficiently uncover insights from dynamic business interaction data—an exciting and unique opportunity within the sector. This position focuses on applied machine learning with a significant emphasis on engineering rather than research. You will be instrumental in enhancing our ML Engineering capabilities, specifically in information retrieval and ultimately in recommendation systems. Key Responsibilities: Own the full ML lifecycle: Guide projects from ideation to production, encompassing feature engineering, model selection, deployment, and model observability and evaluation. Translate business needs into ML solutions: Gather product requirements and convert them into robust ML system design specifications. Build recommendation and ranking systems: Architect and implement ranking and recommendation infrastructure from the ground up, initially leveraging integrated off-the-shelf models and evolving to tailored solutions over time. Solve complex problems: Tackle diverse challenges in information extraction, storage, and retrieval for both structured and unstructured data. Collaborate cross-functionally: Work alongside cross-functional teams (product, infrastructure, data engineering, and software engineering) to develop robust, high-scale systems that underpin our data processing and ML operations.

At Plusgrade, we believe travel is about the journey, not just the destination. Our mission is to redefine the future of travel by partnering with over 250 leading companies in the airline, hospitality, cruise, passenger rail, and financial services sectors. We focus on creating significant revenue opportunities through exceptional customer experiences. Emphasizing our core values of ambition, innovation, and collaboration, we are committed to exceeding expectations and fostering a culture of excellence. Join us as we turn ordinary travel into extraordinary experiences.ROLE OVERVIEW:As a Backend Developer specializing in Machine Learning within our ML Applications team, you will play a pivotal role in designing, developing, and deploying advanced machine learning solutions to tackle complex business challenges. This position demands a robust background in software development, a keen interest in innovative technologies, outstanding problem-solving abilities, and the capacity to thrive both independently and as part of a dynamic team.This position reports directly to the Director of ML Applications.KEY RESPONSIBILITIES:• Collaborate in a dedicated team focused on enabling machine learning applications across the organization.• Develop, scale, and operationalize state-of-the-art machine learning solutions.• Create scalable and resilient ML pipelines for predictive analytics, enhancing key performance indicators such as member engagement and revenue.• Implement robust monitoring processes for production ML pipelines.• Support production systems to deliver batch and real-time streaming model predictions.• Engage actively in solution design and modeling, ensuring adherence to best practices and ML architectural principles.• Partner closely with Product, Engineering, and Marketing teams to develop data-driven ML solutions addressing critical business questions.• Deploy models, assess their performance, and continuously refine them.• Oversee model retraining, drift monitoring, pipeline automation, quality control, and governance of production models.• Collaborate with the Operations team to ensure effective production support.CANDIDATE PROFILE:• Minimum of 4 years of experience in ML pipelines and ML-focused Python development.• Strong understanding of software engineering principles and practices.• Proficient in RESTful APIs.• Experienced in building ML and LLM-based recommendation systems.• Proven track record in designing and developing backend components optimized for low-latency and high-performance applications.

Join Fullscript as a Senior Machine Learning EngineerAt Fullscript, we’re revolutionizing health technology with a commitment to enhancing patient care. Established in 2011, our mission is straightforward: to empower practitioners with easy access to trusted products, enabling them to provide superior care.Our platform has evolved to support over 125,000 practitioners, offering clinical insights, lab interpretations, patient analytics, and access to premium supplements. More than 10 million patients depend on Fullscript to maintain their care plans and achieve their health goals.We develop innovative tools designed to simplify healthcare, making it smarter and more personal. By consolidating everything practitioners need in one place, we enable them to concentrate on what truly matters: helping people get better.Your Opportunity Awaits.Bring your creativity, dedication, and compassion to our team. Join us in shaping the future of healthcare.We're on the lookout for a Senior Machine Learning Engineer to join our dynamic AI team. In this role, you will spearhead the development of cutting-edge AI features that enhance clinicians' services and empower patients to achieve better health outcomes.

Join Stripe as a Machine Learning Engineer focused on supportability. In this role, you will leverage machine learning techniques to enhance product support and improve user experience. You will work collaboratively with cross-functional teams to develop innovative solutions that address customer needs.

Join our dedicated team at Spectrum Healthcare as a Senior Living Advisor, where you will play a pivotal role in assisting individuals and families in navigating their senior living options. Your expertise will empower clients to make informed decisions about their care and living arrangements, ensuring they receive the support they need.

About Boson AI: At Boson AI, we are at the forefront of innovative AI solutions, shaping the future of enterprise AI. Our dedication to advanced AI research, especially in the realms of large language models and agentic systems, empowers us to address intricate real-world challenges for businesses and generate substantial value. Our vibrant and collaborative team of researchers and engineers is committed to pushing the limits of possibility, ensuring that we deliver high-quality, reliable products that integrate seamlessly into enterprise workflows and establish new benchmarks in the industry.About the Role: We are looking for a talented, detail-oriented, and driven Machine Learning Engineer to join our enterprise team. In this crucial position, you will spearhead the development and deployment of innovative AI solutions. This role entails integrating sophisticated language, voice, and vision models, mastering fine-tuning methodologies, constructing advanced workflows and platforms, and pioneering novel agentic strategies. You will engage with challenging problems that require a profound understanding of model behavior, precise implementation, and an unwavering dedication to quality and reliability in enterprise settings. A thrilling aspect of this role is your contribution to the architecture and implementation of intelligent systems where AI agents autonomously execute intricate tasks, interfacing with various data sources and tools, as we collectively strive to build truly integrated and powerful AI capabilities for our clients.

Company OverviewCedar is revolutionizing home affordability with groundbreaking solutions that make homeownership accessible and sustainable for more individuals. By redefining land leasing into a consumer-centric model, we are addressing one of the most urgent issues in our society today: home affordability at scale. Our innovative structure significantly lowers the upfront cost of buying a home and reduces monthly expenses, paving the way for those previously excluded from traditional markets, while also enabling current homeowners to access equity at a fraction of typical costs. With substantial backing from leading investors, Cedar is poised to make a lasting impact on the housing landscape. Join our dynamic and high-performing team as we transform how homes are purchased and create a new institutional asset class.About the RoleAs a Cedar Home Advisor, you will be at the forefront of our consumer operations, converting inbound demand into successful transactions and delivering an exceptional customer experience from initial contact through to closing. You will qualify and convert inbound leads, effectively educate buyers on Cedar's offerings in an approachable manner, and guide clients through each stage of the sales funnel with diligence and urgency.Additionally, you will play a key role in establishing and activating new origination channels, such as mortgage brokers, loan officers, and real estate agents, by building relationships, providing support, and generating ongoing business flow. This position entails significant ownership and operates directly under the Head of Sales.What You’ll DoInbound Lead Management & ConversionPromptly respond to inbound leads through various channels (calls, forms, emails, SMS) and conduct structured discovery calls to comprehend the client's goals, budget, timeline, and financing situation.Initiate outbound calls to promote Cedar to real estate agents, builders, and lenders.Provide clear and confident product presentations, guiding buyers in understanding the advantages of choosing Cedar.Address objections with empathy and accuracy (e.g., questions about ground leases, buyout options, resale concerns), translating complex terminology into straightforward language.Schedule and conduct consultations, maintain regular follow-ups, and drive subsequent steps (documentation, pre-qualifications, underwriting submissions).

Position OverviewThe Engine Technical Advisor serves as the key point of contact for clients, addressing their requirements related to routine maintenance, minor unscheduled events, and AOG (Aircraft on Ground) situations. This role involves coordinating with the Product Line Specialist (PLS) to effectively manage customer events and provide the necessary support.

Role OverviewJoin us in our mission to revolutionize the insurance sector by making it simpler, more accessible, and focused on customer needs. The insurance market is a colossal $1 trillion industry that has seen minimal disruption from digital innovations, and at PolicyMe, we aim to change that narrative. As a fully remote startup based in Toronto, we are on the lookout for a Licensed Life Insurance Advisor to help us shape the future of insurance in Canada and beyond.In this role, you will be pivotal in educating our clients about their insurance requirements. You will tackle complex inquiries, handle advanced customer scenarios, and guide clients through our diverse product offerings. As a frontline representative for PolicyMe, you'll manage incoming leads throughout their policy applications, ensuring they receive the necessary coverage while enjoying a seamless process via phone, SMS, and email.What Sets This Role Apart:This is an exceptional opportunity to become part of a dynamic and fast-growing startup with pathways for career advancement. You will not need to prospect for clients; all leads are inbound and pre-qualified, supported by our high-performing marketing and growth teams. You will actively contribute to discussions across the organization aimed at refining operations, enhancing customer experiences, and developing innovative insurance solutions. Embrace the wave of industry transformation instead of resisting it.Reports To: Customer Success Manager

Join RAVL, a premier technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients to achieve significant ROI through smart technology investments. We are seeking experienced Senior Machine Learning Platform Engineers on a contract basis, to play a pivotal role in the development and scaling of innovative machine learning platforms across diverse client projects. Your responsibilities will include crafting ML pipelines, enhancing platform functionalities, and facilitating MLOps workflows within cloud environments. This position offers an exciting opportunity to engage in both active project deliveries and prospective initiatives, allowing you to work on cutting-edge, production-level ML systems.

At RAVL, we bridge the gap between strategy and execution, prioritizing the well-being of our team and clients alike. Our mission is to cultivate a workforce that places genuine, sustainable business outcomes at the forefront of our endeavors. We strive to enhance our clients' situations and foster an environment where our employees are proud to Build. Better. As a Principal Technical Advisor / Architect at RAVL, you will reside at the nexus of strategy, architecture, and executive trust. Your extensive technical expertise and advisory capabilities will enable you to shape intricate solution landscapes while empowering clients to make informed and confident decisions. This position transcends mere system design; you will integrate data, constraints, and business context into actionable insights that inform both C-suite strategies and the work of delivery teams. Your collaboration with executive stakeholders, engineering leaders, and delivery teams will ensure that architectures are not just technically robust but also aligned with desired outcomes, risk management, and long-term value.