MLOps Engineer at Factored | Latin America

Location: Remote (U.S.); DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Eligibility: U.S. citizenship required. All work must be performed within the continental United States. Raft delivers AI, machine learning, and data-driven solutions to U.S. military and government clients. The team specializes in autonomous …

Raft is seeking a Principal MLOps Engineer to help build and scale advanced AI and data platforms for the Department of Defense. This position plays a key role in transforming large volumes of real-time sensor and operational data into actionable intelligence, supporting critical decision-making for operators through mission applications and operational displays. What you will do Advance mission-critical AI and data platforms that process billions of daily events with low-latency pipelines and cloud-native architecture. Support the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management. Ensure the platform operates effectively across both cloud infrastructure and resource-constrained environments. Location This role is open to remote work within the United States as well as in DMV, McLean, VA, Boston, MA, San Antonio, TX, Colorado Springs, CO, Tampa, FL, and Honolulu, HI. Eligibility U.S. citizenship is required. All work must be performed within the continental United States.

Join General Assembly as a Lead Instructor specializing in MLOps and AI Platform Engineering. In this role, you will lead engaging online classes, guiding aspiring data professionals through the intricacies of machine learning operations and AI engineering. You will leverage your expertise to create a dynamic learning environment, fostering both theoretical knowledge and practical applications.Be part of a transformative educational experience that empowers students to excel in the rapidly evolving tech landscape.

Logic20/20 is on the lookout for a seasoned Lead MLOps Engineer to spearhead and mentor our dynamic data science teams. This role involves harnessing the power of artificial intelligence and machine learning to enhance computer vision and customer intent models. Join us in this thrilling opportunity to impact the industry by developing production-level systems through the application of advanced machine learning models.Key Responsibilities:Design and architect frameworks to predict diverse outcomes across various scenarios.Build, deploy, and enhance machine learning models to meet production standards.Collaborate closely with fellow data scientists and stakeholders on innovative projects.Develop sophisticated solutions utilizing Python.Ensure the delivery of production-grade solutions.Engage with technologies such as Hadoop, Redshift, and Spark.Translate complex business and product inquiries into actionable analytics projects.Effectively communicate insights derived from complex methodologies through clear written and verbal channels.

Location: Remote (U.S. only), DMV, McLean, VA, Boston, MA, San Antonio, TX, Colorado Springs, CO, Tampa, FL, Honolulu, HI Clearance: U.S. citizenship required. All work must be performed within the continental U.S. Role overview The Principal MLOps Engineer will work with a team dedicated to building AI and data platforms for the Department of Defense. These platforms manage and process large streams of real-time data collected from various sensors and operational sources. The objective is to turn raw data into actionable intelligence, supporting operators with applications that enable fast, informed decisions. Raft’s systems run at scale, processing billions of events each day through low-latency data pipelines and cloud-native infrastructure. As AI capabilities grow, the engineering team is focused on expanding a comprehensive machine learning platform. This platform covers the full lifecycle: model development, evaluation, deployment, monitoring, and ongoing management, both in the cloud and in operational environments with limited resources. About Raft Raft is a defense technology company that supports U.S. military and government agencies with advanced AI/ML and data solutions. The team specializes in autonomous data fusion, Agentic AI, distributed data systems, scalable platforms, and complex application development. Based in McLean, VA, Raft partners with federal and public sector clients, using design thinking and cloud-native technology to deliver digital solutions that reach millions of Americans.

Location: McLean, VA (U.S. based). U.S. citizenship is required for all programs. All work must be performed within the continental United States. Role overview The Principal Engineering Lead works directly with Intelligence Community clients and acts as the primary technical liaison to the National Reconnaissance Office (NRO). This position leads a cross-disciplinary team, guiding both architecture and delivery for software and data platforms that support critical missions. The role shapes technical direction, influences design patterns, recommends tools, and provides advice on AI and machine learning strategies across several teams. What you will do Lead a cross-functional engineering team delivering solutions for Intelligence Community clients. Serve as Raft’s main technical representative to the NRO. Architect, build, and deploy software applications and data platforms at scale. Advise on design patterns, technology selection, and AI/ML approaches across teams. Work closely with problem solvers to address complex technical challenges. Requirements U.S. citizenship (required for all programs). Ability to work within the continental U.S. Extensive experience leading engineering teams and architecting large-scale solutions. Background in software application and data platform development, preferably for government or defense clients.

Hayden AI builds mobile perception systems that help transit agencies and city governments address real-world challenges. The team focuses on computer vision to improve bus lane and bus stop enforcement, modernize transportation technology, and support safer, more sustainable streets. The MLOps Engineer will join the Perception Deep Learning team in San Francisco, working in a hybrid model (at least three days per week in the office). This role centers on building and advancing Hayden AI’s machine learning platform, collaborating with perception, deep learning, and platform engineers to create infrastructure for training and deploying ML models. The position involves shaping the architecture for data ingestion, training pipelines, deployment, monitoring, and governance. What you will do Design, implement, and maintain cloud-based workflows for deploying and managing AI models. Work with cross-functional teams to identify workflow bottlenecks and deliver solutions that improve efficiency. Deploy new features and updates quickly while maintaining quality and reliability, and apply cost-saving strategies to optimize infrastructure spending. Stay up to date with new MLOps tools and technologies, integrating them to improve ML workflows. Participate in the team’s software development process, including design and code reviews, brainstorming, and maintaining accurate documentation. Requirements Bachelor’s degree and 3-4 years of experience in a related field.

Field AI is revolutionizing the interaction between robots and the physical world. Our mission is to create AI systems that are risk-aware, dependable, and ready for real-world applications, tackling the intricate challenges of robotics to unlock the true potential of embodied intelligence. By moving beyond standard data-driven methods and purely transformer-based models, we are pioneering innovative solutions that are already deployed globally, yielding tangible results and continually refining our models through actual field applications.We are on the lookout for a talented and driven MLOps Engineer to bolster our engineering team. In this pivotal role, you will be responsible for designing and maintaining the infrastructure and tools essential for the comprehensive lifecycle of machine learning systems utilized in robotics. Collaborating closely with machine learning engineers, robotics experts, and infrastructure teams, you will ensure the reliable training, evaluation, deployment, and monitoring of ML models. This position presents a thrilling opportunity to operationalize machine learning within dynamic and rapidly evolving robotic systems.

About Us:Zefr stands as the global frontrunner in brand suitability targeting and measurement, operating across the largest platforms worldwide. Our innovative technology empowers advertisers to control their content adjacencies, aligning with their unique brand safety and suitability preferences. As an official partner of the YouTube Measurement Program, Meta for Business, and TikTok for Business, we utilize our patented machine learning and AI technology (Cognition AI) to deliver precise and transparent brand safety solutions. Headquartered in Los Angeles, California, Zefr has a global presence to better serve our clients.Your Role:We are seeking a Lead Machine Learning Operations Engineer to spearhead our MLOps team, driving the infrastructure, tooling, and processes that facilitate the operation of our machine learning systems at scale. You will be responsible for deploying, monitoring, and optimizing ML models that analyze vast amounts of data from platforms like TikTok, YouTube, Facebook, Instagram, and Snap. In this pivotal role, you will lead a team of engineers to construct and sustain robust ML pipelines, ensure model reliability in production, and implement best practices for model lifecycle management. Your collaboration with ML Engineers and Data Scientists will bridge the gap between research and production, fostering a culture of excellence and scalability in ML infrastructure.Key Responsibilities:Lead, mentor, and develop a talented team of Machine Learning Engineers, promoting innovation and continuous improvement.Design and implement scalable ML infrastructure for model training, deployment, and serving.Establish and enforce best practices for ML model lifecycle management, including versioning, testing, and monitoring.Develop and maintain CI/CD pipelines tailored for machine learning workflows.Optimize model inference performance while minimizing latency and cost across production systems.Collaborate with ML Engineers and Data Scientists for efficient model production.Implement comprehensive monitoring, alerting, and observability solutions for ML systems.Drive technical decisions regarding MLOps tooling, infrastructure, and architecture.Ensure high availability and reliability of ML services at scale.

About the RoleJoin our dynamic team at Bonsai Robotics as a Senior MLOps Engineer, where you'll play a pivotal role in shaping the future of robotics. We seek an innovative engineer who excels in real-world environments and can oversee the complete machine learning lifecycle—from data ingestion and labeling to training, evaluation, and performance monitoring. Your contributions will support a sophisticated perception stack that includes 2D/3D object detection, semantic and instance segmentation, depth estimation, and multi-sensor fusion utilizing both camera and lidar technologies.This position is highly collaborative; you will work closely with perception engineers, autonomy specialists, field operations, and external labeling teams. Your work will be fast-paced, impactful, and will influence every vehicle deployed in the field.

At dv01, we are unveiling the intricacies of the world's largest financial market: structured finance. Our platform serves as the backbone for vital activities that promote financial independence, ranging from consolidating credit card debt to refinancing student loans, purchasing homes, and launching small businesses. dv01’s cutting-edge data analytics platform offers unparalleled insights into investment performance and risk for lenders and Wall Street investors involved with structured products. As a data-centric organization, we meticulously manage essential loan data and develop state-of-the-art analytical tools that empower strategic decision-making for responsible lending. In essence, we are committed to preventing a recurrence of the 2008 global financial crisis by providing the data and tools necessary for informed, data-driven decisions that contribute to a safer financial environment for everyone. With over 400 of the largest financial institutions relying on dv01, we cover more than 100 million loans across various sectors, including mortgages, personal loans, auto loans, buy-now-pay-later schemes, small business loans, and student loans. dv01 is continually broadening its market coverage, adding new loans monthly, and innovating new technologies for the structured products landscape.

About the Role Pinterest is hiring a Lead Principal Engineer for the Agentic Engineering team. This role focuses on designing and building advanced engineering solutions that enhance the Pinterest platform. The position can be based in Chicago, IL or fully remote within the United States. What You Will Do Lead the development of new technologies to improve user experiences on Pinterest Guide technical direction and architecture for the Agentic Engineering team Collaborate with engineers and cross-functional partners to deliver projects with global impact Location Chicago, IL, US Remote, US

Contribute to a Safer World.At TRM Labs, we leverage blockchain analytics and artificial intelligence to empower law enforcement, national security agencies, financial institutions, and cryptocurrency enterprises in the fight against crypto-related fraud and financial crime. Our advanced blockchain intelligence and AI platforms are designed to trace transactions, identify illicit activities, build investigative cases, and establish a comprehensive view of potential threats. Trusted by leading organizations worldwide, TRM is committed to fostering a safer, more secure environment for everyone.The AI Engineering Team is dedicated to driving the development of next-generation AI applications, specifically focusing on Large Language Models (LLMs) and agentic systems. Our mission is to create resilient pipelines, high-performance infrastructure, and operational tools that facilitate the swift, safe, and scalable deployment of AI systems.We manage extensive petabyte-scale data pipelines, deliver model outputs with millisecond-level latency, and ensure observability and governance to make AI production-ready. Our team actively evaluates and integrates state-of-the-art tools in the LLM and agent domain, such as open-source stacks, vector databases, evaluation frameworks, and orchestration tools, which enhance TRM's ability to innovate more rapidly than the competition.In the role of Senior MLOps Engineer specializing in LLMOps, you will play a pivotal role in constructing and scaling the technical infrastructure required for AI and ML systems. Responsibilities include:Develop reusable CI/CD workflows for model training, evaluation, and deployment, incorporating tools like Langfuse, GitHub Actions, and experiment tracking.Automate model versioning, approval processes, and compliance checks across various environments.Construct a modular and scalable AI infrastructure stack, integrating vector databases, feature stores, model registries, and observability tools.Collaborate with engineering and data science teams to integrate AI models and agents into real-time applications and workflows.Regularly assess and incorporate cutting-edge AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML, etc.).Enhance AI reliability and governance, promoting experimentation while ensuring compliance, security, and system uptime.Optimize AI/ML model performance by ensuring data accuracy, consistency, and reliability to improve training and inference processes.Deploy infrastructure that supports both offline and online LLM evaluations.

Join Quince as a Senior Engineering Manager specializing in MLOps, where you will lead a talented team in building and maintaining machine learning operations that drive our innovative products. Your expertise will help optimize workflows and ensure the seamless integration of ML models into production environments.

About Us At Hitachi Digital Services, we are pioneers in the realm of digital solutions and transformation. Our vision is to unlock the immense potential of our world, and we are driven by a people-centric approach that aims to create positive change. Every day, we innovate to future-proof urban spaces, conserve natural resources, protect vital ecosystems, and enhance lives. Our unique blend of innovation, technology, and expertise empowers us to lead both our company and clients into the future. We believe that diverse experiences and perspectives are invaluable. We value your character, life experiences, and passion just as much as your qualifications. Join Our Team We are seeking a dedicated MLOps L2 Support Engineer who will play a crucial role in providing 24/7 production support for our machine learning (ML) and data pipelines. This role involves on-call support, including weekends, to ensure the high availability and reliability of our ML workflows. You will work with technologies such as Dataiku, AWS, CI/CD pipelines, and containerized deployments to maintain and troubleshoot ML models in production. Key Responsibilities: Deliver L2 support for MLOps production environments, ensuring maximum uptime and reliability. Troubleshoot issues related to ML pipelines, data processing jobs, and APIs. Monitor logs, alerts, and performance metrics using tools like Dataiku, Prometheus, Grafana, or AWS CloudWatch. Conduct root cause analysis (RCA) and resolve incidents within agreed SLAs. Escalate unresolved issues to L3 engineering teams as necessary. Dataiku Platform Management: Manage Dataiku DSS workflows, troubleshoot job failures, and optimize performance. Monitor and support Dataiku plugins, APIs, and automation scenarios. Collaborate with Data Scientists and Data Engineers to debug ML model deployments. Perform version control and ensure proper documentation.

Who We Are At PathAI, our mission is to enhance patient outcomes using cutting-edge AI technology in pathology. Our innovative platform significantly boosts diagnostic accuracy and treatment efficacy for illnesses such as cancer by harnessing advanced machine learning and artificial intelligence methodologies. We have a proven history of successfully implementing AI algorithms in histopathology for translational research, pathology laboratories, and clinical trials. Our commitment to rigorous scientific research and careful analysis is fundamental to our operations. Our diverse team is dedicated to tackling complex challenges and making a meaningful difference in patient care. Your Role As the Associate Director of MLOps, you will spearhead the team that underpins our AI/ML infrastructure, bridging the gap between machine learning research and large-scale production. Your primary responsibility will be to enhance our infrastructure to accommodate the growing demands of extensive ML training and inference tasks. You thrive on designing and building systems that emphasize reliability, enjoy collaborating with others, and embrace technical challenges while maintaining a sense of humor. Our technical landscape is extensive, encompassing high-scale AI training and inference workloads, cloud infrastructure, Kubernetes, observability, distributed systems, and various related technologies. Your Responsibilities This position plays a pivotal role in driving the scalability and efficiency of our Machine Learning Operations platform through impactful and strategic initiatives. Vision and Roadmap: Formulate and implement a long-term vision and roadmap for the MLOps team to meet the ML development and deployment requirements of various business units. Successfully navigate the balance between immediate tactical objectives and long-term architectural advancements for future expansion. Team Leadership: Lead and mentor a team of 6-7 high-performing engineers. Strategically assign resources to support existing services while pursuing critical strategic projects. Cross-Functional Collaboration: Collaborate with leaders across machine learning, data science, product engineering, and infrastructure to proactively identify challenges, address bottlenecks, and facilitate the deployment of innovative solutions. Foundation Model Readiness: Design the computational and storage pipelines necessary for ML Engineers to manage millions of slides and intricate derived artifacts without data fragmentation or synchronization delays.

Mission Summary:Join Motional as a Principal Engineer Team Lead, where you will spearhead a talented team dedicated to the innovation and execution of advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. In this pivotal role, you will shape motion planning and control systems that empower our fleet to navigate intricate environments with safety, efficiency, and comfort. As a distinguished leader, you will drive the evolution and ongoing performance enhancements of cutting-edge trajectory generation algorithms, collaborate with interdisciplinary teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and guide a skilled group of engineers in delivering top-tier solutions.If you are enthusiastic about the future of autonomous driving and are excited to contribute to our commercial launch this year while tackling challenging real-world problems, we encourage you to apply!What You Will Do:Lead and expand a high-impact trajectory planning team, defining its technical vision and execution strategy within the organization.Ensure commercial launch preparedness for trajectory planning by enhancing on-road driving behavior (safety, comfort, assertiveness) across our fleet through feature development and continuous innovation.Implement a rigorous, metrics-driven approach to assess and improve on-road performance, leveraging existing training and evaluation pipelines for scalable, production-ready solutions.Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring compliance with latency requirements.Direct the swift analysis and resolution of critical fleet incidents, translating real-world scenarios into immediate algorithmic improvements and validation sets.Manage the successful execution of complex, multi-team projects, ensuring technical coherence from design to deployment while upholding high testing and validation standards.Collaborate with peer leads to provide technical direction, making strategic decisions on architecture, investments, tactical execution, and technical debt mitigation. Ensure technical excellence through thorough design and code reviews while fostering the professional development of your engineering team.

At Jahnel Group, we are committed to creating an unparalleled environment for software developers to unleash their creativity by connecting them with clients engaged in meaningful projects.Our team builds some of the most intricate and engaging applications for clients across the nation. Recognized as a fast-growing INC 5000 company, we maintain a close-knit culture with over 100 employees. As we expand rapidly, we invite you to join our team for a beer or coffee to explore your next career opportunity with us.WHO WE ARE LOOKING FORThe Principal Software Engineer represents the intersection of technical expertise and visionary leadership within a vast and complex landscape. In this role, you will tackle the most challenging problems, demonstrating mastery in performance, scalability, system architecture, and software engineering best practices.As a Principal Engineer, you will be a seasoned diplomat, excelling in collaboration and communication; you will listen, understand, persuade, develop, motivate, and champion change. You will lead technical projects to ensure their success.Curiosity is vital, excellence is expected, and your goal will be to deliver substantial value and drive progress. You will be responsible for establishing team policies, creating procedures, and ensuring adherence while serving as a role model for your peers.PRIMARY RESPONSIBILITIESCraftsmanshipExpert in reading, writing, testing, and debugging software across several core technical domains.Renowned advocate of essential tools and concepts relevant to your skill set.Proficient in crafting high-quality documentation for both developers and end users.Expected to hold others accountable to high standards and be a champion of best practices throughout the organization.Problem SolvingSkilled in various software development methodologies (i.e., Agile, Scrum), managing multiple teams simultaneously.Expert in software architecture and design documentation.Proficient in planning, designing, estimation techniques, and workload management across multiple teams.Accountable lead on significant projects (root cause analysis, refactoring, transformational initiatives, etc.).Review and create work items/streams for multiple teams, collaborating with product owners and external stakeholders to design realistic roadmaps.

At Opendoor, we are reimagining the real estate industry with cutting-edge technology and innovative practices. We are looking for a talented MLOps Software Engineer specializing in pricing to join our dynamic team in Seattle. In this role, you will leverage your expertise in machine learning operations to enhance our pricing models, ensuring they are robust, scalable, and efficient.As a member of our engineering team, you will collaborate closely with data scientists and product managers to develop solutions that optimize pricing strategies and improve user experiences. We seek forward-thinkers who are passionate about using technology to drive significant business impact.