• As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and operational processes that enable scalable, secure, and reliable deployment of machine learning solutions for federal clients. • You will partner closely with data scientists, AI engineers, data engineers, and government stakeholders to operationalize models across development, testing, and production environments. • You will play a critical role in enabling secure AI and ML delivery within DoD and federal financial environments, ensuring models are repeatable, auditable, and compliant with federal standards. • Design, build, and maintain end‑to‑end MLOps pipelines, supporting model training, testing, deployment, monitoring, and retraining • Implement CI/CD workflows for ML models and data pipelines in secure federal environments • Operationalize machine learning models built by data science teams and ensure production readiness • Develop and manage model versioning, artifact management, and experiment tracking • Implement monitoring solutions for model performance, drift, data quality, and pipeline health • Automate infrastructure provisioning and deployment using infrastructure‑as‑code and DevOps best practices • Support auditability, explainability, and governance of AI/ML systems • Collaborate with stakeholders to align MLOps architectures with mission needs and security requirements

Company Description SmartRecruiters is the Recruiting AI Company that transforms hiring for the world’s leading enterprises. Built for global scale, SmartRecruiters, an SAP company, delivers an AI-powered hiring platform that automates and optimizes the entire talent acquisition process, ensuring faster and smarter hiring decisions. More than 4,000 companies, including Amazon, Visa, and McDonald's, rely on SmartRecruiters to build winning teams. In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, SmartRecruiters and SAP are accelerating the reinvention of hiring by combining cutting-edge AI innovation with the scale, reach, and resources of SAP’s ecosystem. At SmartRecruiters, we are a values-driven, globally focused tech company with strong financial backing and a bold vision for the future of work. We commit and dig deep, embracing challenges with grit, curiosity, and a drive for excellence. We foster a collaborative and inclusive work environment, where trust and determination bring us together. Because together, we will win. Recognized by Fosway Industry Analysts as a strategic leader in recruitment technology for three consecutive years, and awarded by Comparably as a top company for Women, Perks and Benefits, Work-Life Balance, Happiness, Compensation, Diversity, and Culture - we take pride in creating a place where everyone can thrive. Our remote-friendly culture, competitive salaries, and strong internal mobility ensure that high performers have meaningful growth opportunities in an environment built on respect and empowerment. Job Description We are looking for a Senior Machine Learning Engineer to join our Chat Group, where we’re building the next generation of intelligent conversational systems for the recruiting industry. Our mission is bold yet simple: boost the efficiency of recruiting and hiring teams and deliver the most personalized experience ever - powered by cutting-edge ML, NLP, and agentic AI. You’ll play a central role in designing and developing agentic workflows, where autonomous AI agents collaborate, reason, and act to deliver intelligent and context-aware recruiting experiences at scale. At SmartRecruiters, you’ll be part of a global, high-impact team shaping how people connect with jobs. You’ll work with passionate peers across Germany, Poland, the UK, and the US - in a culture that values autonomy, innovation, and measurable outcomes. We’re not just building chat systems - we’re building the AI recruiting assistants of the future. Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. What You’ll Do - Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems - Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment - Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design - Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows - Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems - Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact - Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem Qualifications - BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience - 5+ years of experience developing and deploying machine learning systems in production - Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation - Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face) - Advanced Python programming skills and solid software engineering fundamentals - Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment - Hands-on experience with agentic workflows or building autonomous AI systems is a major plus - Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred - Experience with data quality management, evaluation metrics, or observability in ML systems is a plus - Strong analytical thinking, creativity, and an ownership mindset - Excellent communication and collaboration skills in a cross-functional, international environment - Fluency in English, both written and spoken Additional Information SmartRecruiters is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Role Description Under the supervision of a Building Administrator, the Virtual/Distance Learning Paraprofessional assists in achieving instructional objectives by working with individual students or small groups to promote their achievement and overall success. Main Job Tasks and Responsibilities - Support Student Learning - Administer and unlock assessments. - Work with individual students or groups of students to reinforce learning of material or skills. - Guide independent study, enrichment work, and remedial work in collaboration with the teacher. - Assist with supervision of students during emergency drills, assemblies, and instructional activities. - Assist with other school-wide needs. - Operate and care for a variety of equipment used in conjunction with the instructional program. - Assist with the collection and distribution of instructional materials. - Assist with maintaining an appropriate classroom environment. - Maintain record keeping and documentation of students' performance. - Support and demonstrate core values of Stafford County Public Schools. - Engage in ongoing professional development relevant to position. - Respond promptly and thoroughly to written and oral requests for information. - Maintain a clean, neat appearance, appropriate to position. - Maintain a record of appropriate attendance and punctuality. - Serve as an optimal role model for students, colleagues, and the general public. - Work in close harmony with colleagues, supervisors, and co-workers. - Comply with all District and School policies and regulations, including but not limited to guidelines for confidentiality. - Perform other related duties as required/assigned. Qualifications - High school diploma, or G.E.D. or any combination of education and experience equivalent to graduation from high school. Requirements - Basic curriculum expectations. - Basic teaching strategies. - Basic computer applications. - Basic reading and computation skills, and appropriate oral and written expression; thorough knowledge of English grammar and usage. - Work under the direction of the teacher(s) to whom assigned. - Work cooperatively in a team environment to meet goals. - Organize and perform work independently. - Work on multiple projects while meeting all deadlines. - Show sustained effort and enthusiasm in quality and quantity of work. Working Conditions and Physical Requirements - Work environment is in a mixed environment, with moderate noise, temperatures that are controlled, and no exposure to chemicals or other negative air quality elements. - The work is light/moderate work, requiring exertion of up to 30 pounds of force to move or lift objects. - Standing for prolonged periods. - Sitting for prolonged periods. - Operation of motor vehicles or heavy equipment. - Repetitive motions with the hands, wrists, or fingers. - Repetitive motions with force on the back or lower body. - Ability to feel, grasp, or hold objects by hand. - Discernment of colors visually. - Discernment of letters or numbers. - Discernment of objects under low light or distant conditions. - Understanding and communicating in spoken language. - Understanding and communicating in written language. - Perception of sounds. - Making decisions using logic and rational thinking.

• Own the technical direction for Personalization Foundation Models • Build shared libraries and foundational components for ranking and retrieval systems • Implement performance-critical components in Rust • Design the orchestration and reasoning logic for agentic personalization components • Shape the roadmap for Core Science and Applied ML groups