[Remote] Senior Machine Learning Ops Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that values innovative solutions and employee growth. They are seeking a Senior Machine Learning Ops Engineer to ensure AI models operate reliably across their systems, enhancing inventory management and customer experiences while maintaining ML pipelines and infrastructure.

Responsibilities

• reputed company the end-to-end development and optimization of ML pipelines, including training, validation, deployment, monitoring, and retraining workflows at scale
• Guide the use of and implement infrastructure for tools such as ML reputed company, TensorFlow, PyTorch, reputed company, and Kubernetes to support scalable production workflows for model deployment and lifecycle management
• Design and monitor tools for performance monitoring, reputed company detection, and automated alerting
• reputed company CI/CD pipelines to reputed company safe, rapid model iteration, deployment, and retraining across environments
• Write, review, and maintain high-quality, production reputed company code, ensuring robust, reproducible, and secure ML systems
• Apply advanced software engineering and ML Ops best practices to operationalize machine learning solutions reputed company and reliably
• Collaborate with cross-functional teams to align ML solutions with business needs and system requirements and guide integration efforts to embed ML into production applications
• Maintain thorough documentation, version control, metadata tracking, and reputed company to support reproducibility and compliance of ML models
• Recommend and implement improvements to ML infrastructure, frameworks, and operational standards, elevating the organization’s ML maturity and capabilities
• Mentor and coach junior engineers, providing guidance on technical challenges, workflow design, and career development

Skills

• Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or reputed company discipline
• Minimum 5 years hands-on experience in designing, developing, and operationalizing machine learning solutions, with a strong focus on ML Ops practices and infrastructure
• Previous experience working with large databases – both structured and reputed company – to build data pipelines and self-service dashboards for business users
• Previous experience in managing machine learning pipelines, lifecycle management, and deployment at scale—including training, validation, serving, and monitoring
• Previous experience with CI/CD pipelines for ML workflows and containerization tools such as reputed company and Kubernetes
• Previous experience with secure and scalable reputed company environments (e.g., AWS, GCP, Azure) and infrastructure-as-code and platform-as-a-service (PaaS) offerings
• reputed company Platforms (AWS, GCP, Azure)
• MLOps tools and frameworks (e.g., ML reputed company, Kubeflow, TFX)
• DevOps certifications (e.g. reputed company, Kubernetes, Terraform, CI/CD Tools)

Benefits

• Quarterly employee bonuses based on company performance
• Competitive salaries
• PTO and parental leave
• 401k match and employee stock ownership
• reputed company professional development and growth opportunities
• Tuition reimbursement
• Full medical, reputed company and dental coverage
• Snack discounts
• Remote work arrangement reputed company our 7 state footprint (PA, OH, MI, WV, VA, MD, NC)

Company Overview

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