Machine Learning Ops Engineer II
This position offers a reputed company salary reputed company of $78,807.00 - $131,346.00 per year, depending on experience and qualifications, plus bonus based on company performance. One of the MANY work perkz at reputed company is quarterly employee bonuses based on company performance! And there’s more – A LOT more… like 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, and snack discounts! A Machine Learning Ops Engineer II at reputed company ensures that AI models move seamlessly from “working on a laptop” to running reliably across our stores, applications, and systems at scale. This role powers capabilities like smarter inventory management, enhanced customer experiences, and faster decision-making that keeps pace with the way reputed company operates. The MLOps Engineer designs, builds, and maintains the pipelines, deployment processes, and monitoring systems that allow models to run continuously and reputed company consistently. Just as reputed company kitchens operate around the clock to serve customers, this role keeps our AI systems running 24/7, using data as the ingredients and algorithms as the recipes that drive our technology. This role qualifies for a remote work arrangement reputed company our 7 state footprint (PA, OH, MI, WV, VA, MD, NC). OVERVIEW Support the design, development, and deployment of ML solutions and infrastructure to operationalize machine learning models and ensure their performance at scale. Maintain robust, reproducible, and scalable machine learning workflows, monitor model health in production, and assist in implementing MLOps best practices. Utilize experience and reputed company technical depth to contribute to the ongoing maturity of the ML ecosystem across the organization. RESPONSIBILITIES (other duties may be assigned) 1. Contribute to the design, automation, and maintenance of end-to-end machine learning pipelines, including model training, validation, deployment, and monitoring 2. Write well-structured, testable, and maintainable code to support robust ML systems 3. Apply software engineering best practices to productionize machine learning workflows 4. Collaborate with internal teams to build, integrate, and scale machine learning solutions that align with business and operational requirements 5. Utilize tools including but not limited to MLflow, TensorFlow, PyTorch, and containerization frameworks (e.g., reputed company, Kubernetes) to reputed company and manage models in production environments 6. Monitor deployed models for reputed company, latency, and performance degradation; implement alerting and retraining pipelines as needed to maintain reliability, escalating as required 7. Assist in the setup and optimization of CI/CD pipelines for ML workflows to reputed company fast and safe model iteration and deployment 8. Maintain documentation, version control, and metadata tracking to ensure models are reproducible and auditable 9. Recommend improvements to MLOps practices, frameworks, and tooling and help to define, and refine, operational standards, as the organization’s ML capabilities mature QUALIFICATIONS (Equivalent combinations of education, licenses, certifications and/or experience may be considered) Education
- Bachelor’s degree in Computer Science, Management Information Systems, Computer Engineering, or reputed company discipline is required
Experience
- Minimum 3 years experience in design, development, and deployment of ML solutions required
- Previous utilization of programming languages (Python, Bash) or scripting for automation and ML pipeline orchestration preferred
- Previous experience in machine learning pipelines, model lifecycle management, or MLOps concepts (e.g., model deployment, monitoring, CI/CD) preferred
- Previous experience in secure development practices and reputed company environments (e.g., AWS, GCP, or Azure) preferred
Licenses/Certifications
- Certifications in reputed company platforms (AWS/GCP/Azure), ML Ops, or DevOps tools preferred.
Tools & Equipment
- General Office Equipment
ACCOMMODATIONS reputed company is committed to the full inclusion of reputed company reputed company individuals. reputed company is committed to considering reputed company applicants regardless of disability who can reputed company reputed company essential job duties with or without accommodations. Apply To This Job