Senior Machine Learning Engineer I, AI Governance

Join AuditBoard as a Senior Machine Learning Engineer I specializing in AI Governance, where you will play a pivotal role in shaping the future of AI technologies. Collaborate with cross-functional teams to develop and implement AI governance frameworks that align with ethical standards and industry regulations. Your expertise will help ensure that our AI systems are transparent, accountable, and trustworthy.

About UsOptro is at the forefront of innovation, having achieved over $300 million in annual recurring revenue and maintaining rapid growth. As the premier platform for audit, risk management, ESG, and InfoSec, we empower more than half of the Fortune 500, including seven of the Fortune 10, to navigate their businesses with enhanced clarity and agility. Our customers consistently rate us highly on G2.com and Gartner Peer Insights, reaffirming our commitment to excellence.Our culture thrives on collaboration and creativity, inspiring our team to develop solutions that benefit both our clients and our communities. We are dedicated to breaking barriers and delivering the most trusted audit, risk, ESG, and InfoSec platform, which has earned us a spot as one of Deloitte's 500 fastest-growing tech companies in North America for seven consecutive years!Position OverviewWe are excited to invite a talented and enthusiastic Senior Machine Learning Engineer to enhance our innovative risk management solutions. This role involves working with state-of-the-art Large Language Models (LLMs) and employing advanced techniques such as Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation. You will be instrumental in developing cutting-edge AI/ML features that enrich our AuditBoard product suite, including interactive chat interfaces, intelligent workflows, and personalized analytics. If you are passionate about applying modern AI methodologies to revolutionize the industry, we want to hear from you. Join our customer-centric team, committed to ongoing learning and innovation.Key ResponsibilitiesLead the end-to-end development, deployment, and ownership of product features.Collaborate with designers and product managers to create high-impact features.Utilize a wide range of methodologies—from traditional machine learning to LLM-focused strategies—with an emphasis on reliability, performance, and maintainability.Produce clean, maintainable, and testable code.Create clear and concise design documentation.Diagnose, troubleshoot, and rectify software bugs.Maintain a product-oriented mindset, prioritizing customer needs.Stay abreast of industry trends and advancements in AI/ML.

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

About Datatonic Datatonic stands as Google Cloud's top partner in AI, specializing in machine learning, data engineering, and analytics. The team helps clients across industries use advanced technology on Google Cloud Platform to modernize operations and uncover valuable insights. Role Overview The Senior Machine Learning Engineer position is a hands-on technical role based in Canada. This engineer writes production-quality Python code and prototypes solutions to complex problems. The role involves leading projects, collaborating closely with clients, and delivering reliable machine learning systems that address real business needs. What You Will Do Develop and maintain machine learning models using Python Apply strong engineering practices to both production systems and prototypes Lead project delivery and help scope new engagements Work directly with clients to understand challenges and deliver tailored solutions Build and maintain trusted client relationships What We Look For Solid foundation in machine learning and data science Experience selecting tools and methods for different ML applications Proficiency in optimizing and deploying ML models Strong communication and consulting skills Ability to deliver innovative AI and Cloud solutions for clients

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.

Join Upwork Inc., a global leader in connecting businesses with AI-enabled talent, as a Senior Lead Machine Learning Engineer. In this pivotal role, you will architect and scale the future of agentic intelligence, leading the end-to-end development of AI agents and their underlying platform. From training and evaluating large language models to ensuring runtime orchestration and safety, you will drive innovative solutions that empower both internal teams and external developers to create reliable and high-performing AI agents. This hands-on position blends applied research with platform engineering, making a significant impact on Upwork's mission to transform the workforce for the age of AI.

Are you passionate about harnessing the power of machine learning to drive innovation in the mining industry? Stratum-AI is seeking a proactive and skilled Machine Learning Operations Engineer to become a vital part of our Infrastructure Team. In this role, you will play a key role in developing and maintaining the platform that trains, evaluates, and deploys our AI models, ensuring we deliver impactful solutions to our mining clients.Your expertise in Python and machine learning workflows will be instrumental as you collaborate with our talented team of engineers. Together, you will focus on creating a robust infrastructure and advanced tools that elevate our services.This is a fully remote position, allowing you to work from anywhere in Canada.

Toloka AI seeks a Freelance Machine Learning Engineer for remote contract work based in Manitoba, Canada. This role centers on hands-on AI projects where results have a direct impact. The position allows for independent work from home while engaging with a variety of machine learning efforts. Key responsibilities Use machine learning methods to support ongoing projects Work with Toloka AI teams to develop practical AI solutions Apply technical knowledge to solve concrete, real-world problems Work location This is a remote position open to candidates living in Manitoba, Canada.

Join Us in Shaping the Future of AI and Data!At Datatonic, recognized as a premier partner in AI for Google Cloud, we are at the forefront of technological transformation for leading global enterprises. Our expertise ranges from machine learning and data engineering to analytics, all within the Google Cloud Platform ecosystem. Collaborating with us enables our clients to future-proof their operations, harness actionable insights, and maintain a competitive edge in a fast-evolving landscape.Your MissionIn the role of a Senior Machine Learning Engineer, you will craft elegant, efficient code in Python and take pride in your engineering output. You will champion high-quality development practices for both production software and rapid prototypes.Although the position is predominantly hands-on, we are particularly interested in candidates ready to lead projects and engage actively in client discussions. Key responsibilities include establishing trusted relationships with clients, creatively applying machine learning to resolve challenges, defining project scopes, and managing the successful delivery of engagements.To excel in this role, you should possess robust ML and Data Science fundamentals, along with proficiency in selecting appropriate tools for diverse ML use cases. Comfort with model optimization and deployment practices is essential. Additionally, you should exhibit exceptional communication and consulting skills, with a commitment to addressing real business needs through innovative AI and Cloud solutions.

Tiger Analytics is seeking a talented and forward-thinking Senior Machine Learning Engineer with extensive hands-on experience in Google Cloud Platform (GCP) and Vertex AI. In this pivotal role, you will be responsible for designing, building, and deploying scalable machine learning solutions, while operationalizing ML models and managing the complete ML lifecycle from data ingestion to model serving and monitoring.Key Responsibilities: Develop, train, and optimize machine learning models utilizing Vertex AI, leveraging Vertex Pipelines, AutoML, and custom model training techniques. Design and construct scalable ML pipelines for feature engineering, model training, evaluation, and deployment. Deploy models to production via Vertex AI endpoints and ensure seamless integration with downstream applications or APIs. Collaborate closely with data scientists, data engineers, and MLOps teams to foster reproducible and dependable ML workflows. Monitor model performance, establish alerting systems, retraining triggers, and drift detection mechanisms. Utilize GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS throughout ML workflows. Apply CI/CD principles to ML models using Vertex AI Pipelines, Cloud Build, and GitOps practices. Implement model governance, versioning, explainability, and security best practices within Vertex AI. Document architectural decisions, workflows, and model lifecycles clearly for internal stakeholders.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of contact centers. Our innovative platform fuses advanced AI with human insight, enabling contact centers to uncover customer insights, streamline processes, and enhance team productivity. Founded by the renowned Sebastian Thrun, a pioneer from the Stanford AI lab and visionary behind Google X, Waymo, and Udacity, our leadership team also includes CEO Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Join us on an exhilarating journey to redefine the future of work with AI technology. The revolution begins at Cresta.

Join Stratum AI as a Forward Deployed Machine Learning Engineer and be part of our Technical Services team focused on tackling complex real-world challenges.In this role, you will work extensively with custom architectures using PyTorch, applying your expert knowledge of complex Convolutional Neural Networks, Graph Neural Networks, and Transformers.We prefer candidates based in Canada for this remote-first position.Technical Services Team ResponsibilitiesConduct foundational research to design and implement advanced AI resource modeling techniques applicable to various mining operations.Refine existing architectures to train resource models tailored for specific mines.Effectively communicate model quality, metrics, performance, and methodologies to non-ML technical stakeholders.Identify opportunities for enhancing mining operations and garner client support for new modeling parameters.Monitor deployed model performance over time and innovate on ways to improve existing models.Role ResponsibilitiesCustomize Stratum’s deep learning models for specific mining contexts.Develop and sustain high-quality machine learning code using Python.Explore innovative approaches to enhance resource and metallurgical models for specific mines.Allocate 60% of your time to applied ML for individual mines and 40% to foundational ML across multiple mines.Participate in a minimum of 2 mine visits annually to engage directly with clients.Develop into a senior engineer capable of identifying additional applications of our technology with existing clients.Navigate and thrive amidst complex datasets and evolving client needs, turning ambiguity into structured, actionable plans.Role RequirementsMinimum of 2 years of experience in machine learning or related fields.Proficient in Python and PyTorch with a strong foundation in deep learning principles.Experience with Convolutional Neural Networks, Graph Neural Networks, and Transformers is essential.Excellent communication skills, particularly in translating technical concepts to non-technical audiences.Strong analytical and problem-solving abilities, especially in ambiguous situations.

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).

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of the contact center. Our innovative platform merges advanced AI with human insight to empower contact centers to unveil customer insights, optimize behavioral practices, automate conversations, and streamline inefficient processes, enabling every team member to enhance their productivity. Founded by alumni of the esteemed Stanford AI Lab, Cresta's co-founder and chairman is Sebastian Thrun, a visionary behind Google X, Waymo, and Udacity. Our leadership team also features CEO Ping Wu, co-founder of Google Contact Center AI and Vertex AI platform, along with Tim Shi, an early member of OpenAI. We invite you to join us on this exciting journey to reshape the workforce with AI. The future of work is unfolding at Cresta.About the Role:As part of the AI Agent team at Cresta, you will be tasked with developing cutting-edge AI Agents designed to address real-world challenges for our clients. We focus on leveraging the latest advancements in Large Language Models (LLMs) and AI Agent systems, ensuring our solutions are efficient, secure, and dependable. This position requires hands-on involvement in groundbreaking projects, appealing to innovative and passionate machine learning engineers who can translate research into practical, scalable applications.Your role as a Machine Learning Engineer will involve transitioning AI Agents from research to tangible applications. Responsibilities include developing and deploying proprietary LLMs, scaling AI solutions, and tackling crucial issues such as evaluation and reliability. While our emphasis is on real-world applications, you will engage with some of the most sophisticated technologies in the GenAI domain.

c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.

Role overview c-serv is seeking a Senior Machine Learning Engineer with expertise in Artificial Intelligence, Machine Learning, and Big Data. This position is fully remote and open to candidates residing in Canada. The role centers on applying technical depth to projects that shape the direction of technology within the company. What you will do Use advanced algorithms and data-driven methods to solve practical challenges on real-world projects. Collaborate with a skilled team to build and refine AI solutions. Offer technical insight that helps guide the development and improvement of key projects. Collaboration Work alongside professionals who value practical innovation and measurable outcomes. The team emphasizes open communication and collective problem-solving to achieve strong results.

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

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.

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

“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.