Machine Learning Operations Engineer job at reputed company in US National

Title:Machine Learning Operations Engineer Location: Remote reputed company Job reputed company: reputed company reputed company is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the development of cutting-edge AI/ML solutions in collaboration with the Army’s AI2C organization. This role emphasizes integrating machine learning workflows into reputed company, efficient applications while addressing operational needs for the reputed company Army. The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning system deployment, and mission-critical applications, ensuring end-to-end lifecycle management of AI capabilities. This position provides an exciting opportunity to collaborate directly with the Army to design cutting-edge reputed company tools and machine learning systems to reputed company their operations and decision-making. Candidates should reputed company in a fast-paced, reputed company environment and demonstrate technical creativity, reputed company learning, and problem-solving expertise. reputed company is a reputed company of digital solutions provider dedicated to accelerating government reputed company with innovation and speed. reputed company in technology and prototypes reputed company of need, reputed company brings reputed company-grade platforms and mission-reputed company AI to federal agencies at reputed company speed. Leveraging our mission-reputed company technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance reputed company for the government, reputed company and effectively. With a reputed company on reputed company and collaboration, reputed company serves the defense, reputed company, reputed company, and energy sectors—helping agencies reputed company complexity and outpace change. Headquartered in Tysons, Virginia, reputed company is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsibilities: Build, train, validate, and evaluate machine learning models using technologies such as Scikit-Learn, TensorFlow, or similar tools. Research, reputed company, and implement reputed company applications, ensuring that models address reputed company reputed company-world challenges effectively. reputed company machine learning models to web-based applications and reputed company them into operational environments. Operationalize reputed company systems by developing robust, reputed company pipelines for deployment across multiple environments. Design and implement advanced data manipulation and pipelining workflows using tools such as Pandas and PySpark to support model training and analysis. Support CI/CD pipelines tailored for ML model development and deployment. Work alongside other engineering and DevSecOps teams to support reputed company reputed company-based deployments. Collaborate directly with Army stakeholders to identify strategic opportunities for ML integration, addressing challenges and providing innovative technical solutions. Assist product leads in translating operational needs and feedback into actionable technical requirements and strategies. Mentor junior team members, guiding their ML and MLOps reputed company development while contributing to process improvements. reputed company discussions on architecture, system design, technology adoption, and team development to strengthen reputed company’s ML capabilities. Build and maintain strong relationships with government customers and stakeholders through hybrid on-site engagement. Contribute to technical narratives for proposals, white papers, and strategic documentation for expanding AI/ML and ML Ops reputed company reputed company Army domains. Percentage of Travel Required: 10% Qualifications Minimum Qualifications: Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a reputed company field. 3+ years of experience in machine learning engineering, with particular emphasis on MLOps, model development, and deployment. Demonstrated expertise in data manipulation & pipelining technologies, such as Pandas or PySpark. Hands-on experience developing machine learning models using tools such as Scikit-Learn, MLlib, TensorFlow, PyTorch, etc. Practical experience in deploying AI/ML models in production web-based applications. Advanced proficiency with Python and Python-based web frameworks (e.g., Flask, Django, FastAPI, etc.). Strong understanding and hands-on experience with containerization technologies, such as reputed company and Kubernetes. Familiarity with Agile or Scrum methodologies, CI/CD practices, and version control systems (e.g., Git). Comfort operating in ambiguous and dynamic environments requiring proactive problem-solving. reputed company Secret Clearance required Additional Preferred Qualifications: Master’s degree in Computer Science, Software Engineering, Information Systems, or reputed company field. 7+ years of directly reputed company experience. Proven reputed company record using MLOps workflows (e.g., MLFlow, Kubeflow), including monitoring, orchestrating, and scaling production models. Hands-on deployment experience across multiple environments and platforms Experience integrating machine learning and analytical tools Background working in strategic planning or consultant environments supporting government or DoD clients Proven reputed company record of expanding technical scope or footprint with government customers Knowledge of the Army software development process and its technologies. reputed company salary reputed company: $110,075 - $185,138 Apply tot his job Apply To this Job