Principal MLOps Engineer - Innovative Defense Tech

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…

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.

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 data fusion, Agentic AI, distributed data systems, and building scalable platforms. Headquartered in McLean, VA, Raft partners with federal and public sector organizations to create digital solutions that reach millions of Americans, using design thinking and cloud-native technology. Role overview The Lead Principal MLOps Engineer plays a key part in supporting clients and collaborating with a team focused on complex, high-impact challenges. This position centers on building and maintaining mission-critical AI and data platforms for the Department of Defense. What you will do Work on platforms that process large volumes of real-time data from diverse sensors and operational sources. Transform raw data into actionable intelligence, supporting operators with timely decisions through mission applications and operational dashboards. Support a large-scale platform that manages billions of events daily, using low-latency data pipelines and cloud-native infrastructure. Advance the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

Join our dynamic team at Agile Defense as a Principal Network Engineer. In this pivotal role, you will lead the design, implementation, and optimization of our network infrastructure. Your expertise will ensure the reliability and security of our systems, enabling seamless operations across our organization.

Join Agile Defense as a Principal Intelligence Systems Analyst At Agile Defense, we believe that decisive action shapes results, and that innovation is crucial when faced with evolving challenges. We are committed to anticipating the future and embracing change with resilience and ingenuity. Our mission is to drive adaptive innovation in support of our nation's critical missions by seamlessly integrating cutting-edge technologies, exceptional talent, and unmatched agility. We leverage our core strengths of speed, flexibility, and creativity to fortify and safeguard our nation's essential interests.

Join Agile Defense as a Software Engineer III At Agile Defense, we believe that proactive actions shape outcomes. Our commitment to innovation drives us to embrace challenges and develop forward-thinking solutions. We are on a mission to support our nation’s essential operations by fusing advanced technologies with elite talent, fostering agility, and crafting innovative strategies. By joining our team, you will contribute to our vision of integrating cutting-edge technologies to enhance the security and efficiency of our national interests. Be part of a dynamic environment where your skills and ideas can flourish.

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.

At Accenture Federal Services, our mission is to empower the US federal government to enhance national security and improve the quality of life for its citizens. Our diverse team of over 13,000 professionals is dedicated to harnessing the potential of technology and innovation across various sectors including defense, national security, public safety, civilian, and military health organizations. As part of Accenture Federal Services, a subsidiary of Accenture, you will find a supportive and collaborative work environment recognized as one of Glassdoor's Top 100 Best Places to Work. We foster a culture where individuals feel a sense of belonging and are encouraged to develop their skills through hands-on experiences, certifications, and industry training. Join us in driving impactful change that advances government missions! Overview: We are looking for a highly qualified and proactive Principal Cyber Defense Engineer to become a key player in our team. This pivotal role will involve leading technical initiatives in cybersecurity while collaborating closely with federal law enforcement clients to fortify their cybersecurity infrastructures. We are eager to expand our capabilities in this area and seek technical leaders to propel our work forward. Key Responsibilities: Lead the design, implementation, and management of sophisticated cybersecurity systems. Conduct hands-on technical tasks, including system configuration, integration, and optimization. Participate in incident response operations, including threat hunting, forensic analysis, and remediation actions. Formulate and execute cybersecurity strategies and initiatives aimed at enhancing system security. Perform vulnerability assessments and penetration testing to identify and address security vulnerabilities. Collaborate with cross-functional tech teams to create and implement tailored cybersecurity solutions. Keep abreast of the latest cybersecurity trends, threats, and technologies, applying this knowledge to bolster security posture. Provide expert technical guidance on cybersecurity best practices, policies, and frameworks. Ensure adherence to applicable federal regulations and standards.

This is a hybrid position based in our Bay Area (SF or Palo Alto) or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.Why Join Us?At Grindr, we believe AI has the potential to transform the dating landscape. As a Staff MLOps Engineer, you will be pivotal in developing and managing the infrastructure, tools, and scalable systems that empower impactful AI initiatives. You will architect and maintain the platforms facilitating data ingestion, feature computation, model training, automated evaluation, deployment, and continuous monitoring for our machine learning teams that craft recommendations, LLM-powered experiences, advertisements, visual searches, as well as growth, trust, and safety mechanisms. Your role will involve designing foundational systems that enable our ML engineers to innovate swiftly, deploy models reliably, and manage them confidently in production.What You Will Do:We are seeking an exceptional MLOps engineer passionate about enabling ML at scale, with experience handling over 6 million daily active users and hundreds of millions of daily interactions. You will thrive in building robust, automated pipelines, developing reliable production training and inference systems, and establishing the infrastructure and processes that enhance ML product development across our organization.In this role, you will define and implement the strategy for Grindr’s ML platform and oversee the end-to-end model lifecycle.Key Responsibilities:Construct and oversee end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all while managing substantial data scales.Establish and oversee a feature store, ensuring feature consistency, lineage, and reuse across teams.Utilize top-tier tools for managing deployment, scheduling, and environments within the specialized realm of ML Infrastructure.Develop automated model deployment workflows that incorporate CI/CD, secure rollout strategies, and reproducibility guarantees.Implement monitoring and observability solutions for ML systems, covering data quality checks, drift detection, performance metrics, and alerting mechanisms.Support and build training environments featuring experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management.Collaborate with ML engineers and data engineers to streamline workflows, enhance model iteration speed, and enforce MLOps best practices.

As a Principal Engineer at Nagarro, you will play a pivotal role in shaping the future of technology solutions. You will collaborate with cross-functional teams to design, develop, and implement cutting-edge software solutions that drive business success. Your expertise will guide junior engineers and influence architectural decisions.Join us in our mission to deliver exceptional outcomes for our clients through innovation and technology excellence.

Fortytwo is a cutting-edge decentralized AI protocol built on Monad, which utilizes underused consumer hardware for swarm inference. Our innovative approach allows Small Language Models to execute complex multi-step reasoning at a reduced cost, outperforming the capabilities and scalability of existing leading models.Key Responsibilities:Deploy robust, scalable machine learning services with optimized infrastructure and automated Kubernetes clusters.Enhance GPU resource utilization through Multi-Instance GPU (MIG) and Node Offloading System (NOS).Oversee cloud storage solutions (e.g., S3) to guarantee availability and performance.Incorporate state-of-the-art ML methods, including Low-Rank Adaptation (LoRA) and model merging into operational workflows:Adapt leading ML codebases to align with organizational requirements.Implement LoRA methodologies and model merging processes.Manage and deploy large language models (LLM), small language models (SLM), and large multimodal models (LMM).Utilize technologies such as Triton Inference Server for model serving.Leverage advanced serving frameworks like vLLM and Text Generation Inference (TGI).Optimize models using ONNX and TensorRT to ensure efficient deployment.Develop Retrieval-Augmented Generation (RAG) systems that integrate spreadsheet, mathematics, and compiler processing.Establish monitoring and logging systems with tools such as Grafana, Prometheus, Loki, Elasticsearch, and OpenSearch.Create and maintain CI/CD pipelines via GitHub Actions for streamlined deployment.Develop Helm templates for swift Kubernetes node deployment.Automate workflows using cron jobs and Airflow Directed Acyclic Graphs (DAGs).Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.Expertise in Kubernetes, Helm, and containerization technologies.Experience in GPU optimization (MIG, NOS) and familiarity with cloud platforms (AWS, GCP, Azure).Proficient in monitoring tools (Grafana, Prometheus) and scripting languages (Python, Bash, etc.).

At Riot Games, our engineers possess extensive expertise in specific technical areas and appreciate the chance to engage across a wider spectrum of domains. We leverage both emerging and established technologies to craft innovative solutions that address complex, large-scale challenges and enhance player experiences. As a Principal Software Engineer and Tech Lead for a groundbreaking R&D project, you will be at the forefront of developing the technical underpinnings for one of Riot's most thrilling new games. You will collaborate closely with a talented mix of engineers, quality assurance specialists, artists, and designers to ensure the game aligns with our team's development objectives, creative aspirations, and quality benchmarks across multiple platforms. In this dynamic role, you'll be actively involved in architecting core game features, assessing current and emerging technologies, guiding the efforts of fellow engineers, and troubleshooting some of the game's foundational systems. You will have the opportunity to utilize cutting-edge technology while exploring innovative solutions that will captivate our players as we bring this new gaming experience to fruition. You will report to the Senior Engineering Manager of the Tech Foundations team and collaborate with them to lead a team of 8-10 engineers focusing on engine, tools, build, rendering, and console functionalities.

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.

At Agile Defense, we believe that proactive action shapes outcomes and that new challenges inspire innovative solutions. Our forward-thinking approach embodies an unwavering spirit and the courage to build for the future.Our mission is to deliver adaptive innovation that supports our nation’s most critical missions. We achieve this through the seamless integration of cutting-edge technologies, exceptional talent, and unmatched agility—a foundation built on speed, flexibility, and creativity to safeguard and enhance our nation's vital interests.Requisition #: 1107Job Title: Senior Solutions Engineering LeadSalary Range: indicative of total compensation $185K-$265KSUMMARYAgile Labs serves as the innovation powerhouse of Agile Defense, focused on swiftly developing, prototyping, and operationalizing next-gen capabilities for both our federal and commercial clients. From mission-specific GenAI assistants to DevSecOps pipelines and threat-informed cyber platforms, our Lab transforms ambitious ideas into scalable, field-ready solutions. Our multidisciplinary teams excel in research, design, engineering, and delivery, empowering clients to adopt state-of-the-art technology rapidly while adhering to the highest security and compliance standards.The Vice President of Solutions Engineering is responsible for establishing the technical vision and delivery framework for Agile Labs. This role merges hands-on architecture expertise with executive-level portfolio management. You will create strategic roadmaps for Applied AI, cloud-native applications, DevSecOps, and Cyber Defense offerings, leading distributed teams in translating these strategies into production systems. As the chief engineer, you will interact with C-level stakeholders, converting mission requirements into actionable backlogs and working prototypes, while authoring compelling technical proposals and white papers. Furthermore, you will foster a culture of experimentation, swiftly constructing prototypes that mitigate the risks associated with emerging technologies, including multimodal foundation models, autonomous agents, confidential compute, and software supply chain security. Internally, you will mentor engineering excellence among over 2000 employees through Community of Practice forums, Labs solutions, and enablement programs, ensuring our workforce stays ahead of industry trends.JOB DUTIES AND RESPONSIBILITIES· Define and uphold the solutions architecture framework and reference implementations for all Agile Labs service lines.· Lead opportunity shaping, technical capture, and proposal writing for new business, owning the end-to-end solution narrative.· Oversee delivery execution...

Join Agile Defense as a Software Engineer and be part of a dynamic team that thrives on innovation and collaboration. In this role, you will develop, test, and maintain software solutions that enhance our clients' capabilities and improve their operational efficiency. You will work closely with cross-functional teams to design and implement robust applications while adhering to best practices in software development.

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:Aurelius Systems is a venture capital-backed startup specializing in defense technology, dedicated to creating cutting-edge autonomous directed energy systems deployed at the edge for countering unmanned aerial systems (UAS). Our mission is to develop cost-effective, reliable, and robust laser weapon systems designed to neutralize drones.Comprising a tight-knit team of approximately 10 engineers, ex-US military personnel, and domain experts, we are at the forefront of enhancing America's directed energy capabilities. Our ethos is inspired by Marcus Aurelius, emphasizing diligence and decisive action without excuses. We believe in the power of innovation, akin to Henry Ford's revolutionary approach to manufacturing.In addition to our San Francisco laboratory, we have established a manufacturing hub in Detroit and conduct weekly field tests on our expansive 400-acre private range.If you are an engineer who thrives on tangible results and prefers fieldwork over theoretical models, continue reading.Your Role and Impact:We are seeking a proactive Hardware Engineer to take ownership of structural and thermal designs for a groundbreaking laser weapon system being developed from the ground up. You will execute finite element analysis (FEA), devise thermal solutions, and facilitate prototype validation. This is a hands-on role where you will engage in laboratory construction, field testing, and iterative refinement of designs.From concept to production, you will be involved every step of the way.Your Responsibilities:Develop and validate both passive and active thermal solutions for high-power laser modules, including conjugate heat transfer and transient thermal simulations.Conduct stress, vibration, and modal analyses using ANSYS, SolidWorks Simulation, or equivalent tools, utilizing findings to enhance design durability, weight efficiency, and dynamic load performance.Create and improve CAD models focusing on thermal management and structural prototypes.Lead hands-on prototyping efforts through CNC, additive manufacturing, or rapid fabrication with a strong emphasis on testing; plan and execute vibration, shock, environmental, and robustness tests in realistic field conditions.Conduct Design for Manufacturability (DFM) reviews to optimize geometry, tolerances, and material selections, collaborating directly with suppliers and fabricators to transition designs into production.Evaluate metals, polymers, and composites for mechanical strength, thermal conductivity, and electromagnetic interference compatibility.Generate Bills of Materials (BOMs), GD&T drawings, and assembly instructions while overseeing the prototype-to-production transition, ensuring compliance with industry standards.