MLOps Engineer Openings Onsite

10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations.Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).Experience with cloud platforms and containerization (Docker, Kubernetes).Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.Solid understanding of software engineering principles and DevOps practices.Ability to communicate complex technic

Job Family: Data Science & Analysis Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do: 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

JOB DESCRIPTION | MLOps Engineer | Rose International Job Title: MLOps Engineer Location: Chicago, IL Duration: 13 months Must-Have Skills AWS GoLang Java MLOps (Machine Learning Operations) Python EducationRequirements: Bachelor''sdegreeorMaster''sdegree RequiredSkills: Bachelor''splus5+yearsofexperience,Master''splus3+yearsofexperience Experienceworkingwithanobject-orientedprogramminglanguage(Python,Golang,Java,C/C++etc.) ExperiencewithMLOpsframeworkslikeMLflow,Kubeflow,etc Proficien

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driving operational excellence across the full ML lifecycle. The MLOps Engineer will drive end-to-end quality initiatives across data ingestion, model training, deployment pipelines, and MLOps tooling. This hire will build, deploy, and optimize AI/ML based