ZipRecruiter

Log In

1

Ml Inference Jobs in Powell, TN (NOW HIRING)

All JobsMl Inference JobsMl Inference Jobs in Powell, TN

Ml Inference information

See Powell, TN salary details

$31.8K

$103.9K

$166.4K

How much do ml inference jobs pay per year?

As of Jul 27, 2026, the average yearly pay for ml inference in Powell, TN is $103,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $115,200.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often involving advanced skills in deep learning, data modeling, and programming with tools like Python and TensorFlow. These positions usually require extensive experience, specialized knowledge, and may include leadership responsibilities or strategic decision-making.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on product development.

Which 3 jobs will survive AI?

Jobs involving Ml Inference, such as data scientists, machine learning engineers, and AI system architects, are likely to persist as they require specialized expertise in developing, deploying, and maintaining AI models. These roles demand critical thinking, domain knowledge, and skills in programming and data analysis that are less easily automated. Continuous learning and staying updated with AI tools and frameworks are essential for these professions to remain relevant.

What are some common challenges faced by ML Inference Engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models and systems. While AI automation tools can assist with certain tasks, MLEs are essential for building, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Their expertise in data handling, model deployment, and system integration remains critical in AI development environments.

What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
What cities near Powell, TN are hiring for Ml Inference jobs? Cities near Powell, TN with the most Ml Inference job openings:
Ml Inference jobs near you
Biometrics AI/ML Engineer

Biometrics AI/ML Engineer

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 120 rated laboratories

Job description

Requisition Id 16775
Overview:
Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. The Human Analysis and Biometrics (HAB) group at Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of human and group recognition technologies to address national security and other worldwide challenges.
We are seeking a technical contributor in AI/ML research to build models and pipelines, design and implement evaluations and benchmarks, and disseminate results through publications and briefings. You will partner with multidisciplinary researchers across ORNL and external collaborators to enable data-driven decision-making in a variety of contextsThis position resides in the Human Analysis and Biometrics Group in the Advanced Intelligent Systems Section, Cyber Resillience and Intelligence Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL).
Major Duties/Responsibilities:
  • Contributes to requirements definition, design, and development of software applications in supporting the needs of projects as directed by the Principal Investigator and/or software team lead.
  • Develop AI/ML models and systems for diverse data and mission contexts
  • Conduct independent and collaborative research in AI/ML, with a focus on multimodal learning, computer vision, and scientific machine learning
  • Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and predictive modeling
  • Design and implement reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment
  • Help the group envision, design, develop, test, and deploy human analysis and biometric recognition tools and prototypes.
  • Conduct rigorous statistical analysis to aid in data exploration and interpretation
  • Benchmark and T&E AI/ML systems against performance metrics and robustness; define and implement measures of success for deployment-ready systems
  • Disseminate results via technical reports, publications, presentations, and sponsor briefings
  • Visualize and explain complex data and model results to technical and non-technical audiences
  • Contribute to research proposals and statements of work
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success

Basic Qualifications:
  • A BS degree in computer science, computational science, data science, artificial intelligence, or related field.
  • Experience with agile software development methodologies such as SCRUM.
  • Strong foundation in machine learning, deep learning, or computer vision
  • Strong Python development skills and familiarity with git, CLI tooling, VS Code
  • Proficiency with PyTorch and/or TensorFlow, along with other Python ML development packages; experience building, training, evaluating ML/DL models
  • Experience implementing reproducible data/model pipelines and documenting assumptions, parameters, metrics, and results

Preferred Qualifications:
  • Experience with predictive modeling and generative AI/LLMs, including RAG systems
  • Familiarity with LLM inference servers (e.g., vLLM, Ollama)
  • Familiarity with high-performance computing (HPC) and distributed training environments
  • Hands-on benchmarking/Test & Evaluation of AI systems
  • Interest in AI applications for safety, risk modeling, or scientific workflows
  • Excellent written and oral communication skills
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Special Requirements:
  • Q clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

What Oak Ridge National Laboratory employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply