Staff MLOps Engineer
Murfreesboro, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Murfreesboro, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Murfreesboro, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Lebanon, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Lebanon, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Franklin, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Franklin, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Nashville, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
Nashville, TN · On-site
Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...
MLOps, Engineering Excellence, and Governance * Establish and oversee core AI engineering and operational standards, including source control, CI/CD processes, infrastructure-as-code, observability ...
MLOps, Engineering Excellence, and Governance * Establish and oversee core AI engineering and operational standards, including source control, CI/CD processes, infrastructure-as-code, observability ...
MLOps, Engineering Excellence, and Governance * Establish and oversee core AI engineering and operational standards, including source control, CI/CD processes, infrastructure-as-code, observability ...
MLOps, Engineering Excellence, and Governance * Establish and oversee core AI engineering and operational standards, including source control, CI/CD processes, infrastructure-as-code, observability ...
Nashville, TN · On-site
Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance * Develop scalable pipelines for data ingestion, feature engineering ...
Quick apply
Nashville, TN · On-site
Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance * Develop scalable pipelines for data ingestion, feature engineering ...
You will also assist with AI initiatives at OLCF, integrate key data engineering and MLOps technologies, be an individual contributor for small-medium sized projects, and collaborate with Platform ...
You will also assist with AI initiatives at OLCF, integrate key data engineering and MLOps technologies, be an individual contributor for small-medium sized projects, and collaborate with Platform ...
Oak Ridge, TN · On-site
$177K/yr
You will also assist with AI initiatives at OLCF, integrate key data engineering and MLOps technologies, be an individual contributor for small-medium sized projects, and collaborate with Platform ...
Oak Ridge, TN · On-site
$177K/yr
You will also assist with AI initiatives at OLCF, integrate key data engineering and MLOps technologies, be an individual contributor for small-medium sized projects, and collaborate with Platform ...
Nashville, TN · On-site
MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure-as-code, environment management, automated testing, release controls, and observability practices for AI-enabled ...
Nashville, TN · On-site
MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure-as-code, environment management, automated testing, release controls, and observability practices for AI-enabled ...
Nashville, TN · On-site
$51 - $69.75/hr
Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...
Nashville, TN · On-site
$51 - $69.75/hr
Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...
Nashville, TN · On-site +1
$51 - $69.75/hr
Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...
Nashville, TN · On-site +1
$51 - $69.75/hr
Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...
Brentwood, TN · On-site
$35 - $53/hr
Familiarity with MLOps tools and CI/CD workflows * Background in deploying models in real-time systems or edge environments * Contributions to open-source ML projects or publications in peer-reviewed ...
Quick apply
Brentwood, TN · On-site
$35 - $53/hr
Familiarity with MLOps tools and CI/CD workflows * Background in deploying models in real-time systems or edge environments * Contributions to open-source ML projects or publications in peer-reviewed ...
Nashville, TN · On-site
$110K - $132K/yr
Ensure compliance with data governance, security, CI/CD, and MLOps best practices across all environments. Required Skills & Experience * 7-12 years of total IT experience, including strong hands-on ...
Nashville, TN · On-site
$110K - $132K/yr
Ensure compliance with data governance, security, CI/CD, and MLOps best practices across all environments. Required Skills & Experience * 7-12 years of total IT experience, including strong hands-on ...
Nashville, TN · On-site +1
$100K - $175K/yr
MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...
Quick apply
Nashville, TN · On-site +1
$100K - $175K/yr
MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...
Nashville, TN · On-site
$100K - $175K/yr
MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...
Nashville, TN · On-site
$100K - $175K/yr
MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...
Nashville, TN · On-site +1
$100K - $175K/yr
MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...
Nashville, TN · On-site +1
$100K - $175K/yr
MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...
Experience with AIOps and MLOps tooling - e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC hardware for Kubernetes - e.g. RDMA, DPUs, Infiniband ...
Quick apply
Experience with AIOps and MLOps tooling - e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC hardware for Kubernetes - e.g. RDMA, DPUs, Infiniband ...
Nashville, TN · Remote
Develop and maintain robust MLOps pipelines and practices including model versioning, automated retraining workflows, continuous integration and delivery for ML models, and comprehensive model ...
Nashville, TN · Remote
Develop and maintain robust MLOps pipelines and practices including model versioning, automated retraining workflows, continuous integration and delivery for ML models, and comprehensive model ...
Chattanooga, TN · On-site
Define and govern enterprise AI architecture standards , including model lifecycle management, MLOps, and AI platform integration. * Ensure responsible and compliant AI adoption, aligned with AI ...
Chattanooga, TN · On-site
Define and govern enterprise AI architecture standards , including model lifecycle management, MLOps, and AI platform integration. * Ensure responsible and compliant AI adoption, aligned with AI ...
$102.4K - $110.5K
4% of jobs
$110.5K - $118.6K
1% of jobs
$118.6K - $126.7K
1% of jobs
$126.7K - $134.7K
2% of jobs
$134.7K - $142.8K
4% of jobs
$142.8K - $150.9K
8% of jobs
$152.5K is the 25th percentile. Wages below this are outliers.
$150.9K - $159K
20% of jobs
The median wage is $162.8K / yr.
$159K - $167K
19% of jobs
$173.4K is the 75th percentile. Wages above this are outliers.
$167K - $175.1K
19% of jobs
$175.1K - $183.2K
13% of jobs
$183.2K - $191.3K
8% of jobs
$102.4K
$160.8K
$191.3K
| Aspect | Mlops | Data Engineer |
|---|---|---|
| Primary Focus | Deploying, managing, and monitoring machine learning models in production | Building and maintaining data pipelines and infrastructure for data processing |
| Skills & Certifications | Machine learning, DevOps, cloud platforms, scripting | SQL, ETL, data warehousing, programming |
| Work Environment | Collaborates with data scientists, software engineers, and DevOps teams | Works with data analysts, data scientists, and software developers |
| Industry Usage | AI/ML projects, production environments, cloud services | Data infrastructure, analytics, big data processing |
While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.
The most popular types of Mlops jobs in Tennessee are:
For Mlops jobs in Tennessee, the most frequently searched job titles are:
The top searched job categories for Mlops jobs in Tennessee are:
Cities in Tennessee with the most Mlops job openings:

Other
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Re-posted 3 hours ago
6.5
Based on 2,306 frontline employees who took The Breakroom Quiz
612th of 896 rated healthcare providers
Experience the HCA Healthcare difference where colleagues are trusted, valued members of our healthcare team. Grow your career with an organization committed to delivering respectful, compassionate care, and where the unique and intrinsic worth of each individual is recognized. Submit your application for the opportunity below: Staff ML Ops Engineer
Job Summary and QualificationsPosition Summary
The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable, reliable, and cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless collaboration, and drive innovation.
As a key contributor to the organization’s AI/ML strategy, you will partner with cross-functional teams, including data scientists, product managers, and cloud engineers, to align platform development with business objectives. Your work will directly support the deployment of Responsible AI solutions that prioritize transparency, fairness, and ethical practices.
Major Responsibilities:
• Platform Development: Lead the enhancement of the AI platform to improve the developer experience for data and ML engineers. Optimize workflows by integrating state-of-the-art tools and technologies, ensuring scalability and efficiency.
• Cloud Infrastructure Design and Management: Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging infrastructure-as-code (IaC) tools like Terraform. Optimize for scalability, security, cost-effectiveness, and high availability.
• Cross-Functional Collaboration and Stakeholder Management: Partner with data science, product management, engineering, and business teams to understand their requirements and ensure the MLOps platform effectively supports their needs. Effectively communicate technical concepts and strategies to both technical and non-technical audiences.
• AI/ML Reliability and Observability: Collaborate with the AI/ML reliability engineering team to design and implement components that ensure the platform’s operational reliability, observability, and fault tolerance.
• Cross-Disciplinary Knowledge: Apply knowledge from related disciplines, such as data science and health/biology sciences, to design holistic MLOps solutions that meet the unique needs of the organization.
• DevOps for Machine Learning Workloads: Build and maintain robust DevOps pipelines tailored for ML workflows, enabling automated model training, testing, deployment, and monitoring.
• Tool Development and System Reliability: Design and manage tools to enhance platform reliability, including dashboards, logging systems, and alerting frameworks, to ensure seamless operations.
• Performs other duties as assigned
• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
Education & Experience:
• Bachelor's degree preferred
• Master's degree in Computer Science, Data Science, AI, or related field preferred
• 5+ years of experience in ML Ops, Dev Ops, or related role required
Knowledge, Skills, Abilities, Behaviors Required:
• Service and Quality Excellence: Ability to demonstrate an uncompromising commitment to delivering exceptional care to create an unmatched value proposition for our patients.
• Honor our Mission and Values: Ability to build trust and act with authenticity to cultivate a culture of integrity, inclusion, and mutual respect.
• Effective Decision Making: Ability to make timely, informed decisions that are in the best interest of our patients, employees, providers, community and HCA.
• Attain and Leverage Strategic Relationships: Ability to develop and strengthen collaborative relationships with both internal and external stakeholders to advance the care of our patients and the growth of HCA.
• Lead and Develop Others: Ability to lead others to accomplish organizational goals and objectives; provide meaningful coaching and mentoring to increase the capabilities of individuals and teams and drive employee engagement.
• Communicate with Impact: Ability to deliver information in a clear, concise, and compelling manner to effectively engage others and achieve desired results.
• Achieve Success through Change: Ability to identify opportunities for improvement and innovation, remove barriers and resistance, and enable desired behaviors.
• Drive Execution and Financial Results: Ability to commit to the success and financial wellbeing of HCA by challenging others to excel and hold themselves and others accountable for achieving results.
• Advanced proficiency in cloud platforms, especially Google Cloud Platform (GCP). Experience with on-premises and edge deployments is a plus.
• Solid understanding of AI/ML concepts, technologies, and best practices, with hands-on experience deploying ML solutions at scale.
• Proven ability to work closely with peer teams, data scientists, and product managers to align platform development with strategic goals.
• Proficiency in Python and other scripting tools for automation and platform optimization.
• Strong analytical and troubleshooting skills, with a track record of solving complex problems under pressure.
• Proven experience managing and leading cloud architecture and engineering teams preferred
• Strong background in AI/ML or data science technologies and platform development.
• Demonstrated expertise in leading Responsible AI initiatives, with a focus on ethical AI practices.
• Excellent communication, leadership, and project management skills.
Required in office 2 days a week minimum and occasional/ intermittent travel required
BenefitsHCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location.
HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.
If you find this opportunity compelling, we encourage you to apply for our Staff ML Ops Engineer opening. We promptly review all applications. Highly qualified candidates will be directly contacted by a member of our team. We are interviewing - apply today!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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