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Ml Inference Jobs in Wooster, OH (NOW HIRING)

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Ml Inference information

See Wooster, OH salary details

$32.7K

$107K

$171.3K

How much do ml inference jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ml inference in Wooster, OH is $106,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive in ML inference?

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 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.

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.

Is ML inference a high paying job?

ML inference roles are generally well-paying, especially for those with skills in machine learning frameworks, programming, and cloud platforms. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech-related positions.

What are popular job titles related to Ml Inference jobs in Wooster, OH?

For Ml Inference jobs in Wooster, OH, the most frequently searched job titles are:

What cities near Wooster, OH are hiring for Ml Inference jobs?

Cities near Wooster, OH with the most Ml Inference job openings:

Ml Inference jobs near you

AI & Cloud Infra Software Engineer (Fresh Grad)

Bitdeer Technologies Group

Massillon, OH • On-site

$54 - $70.25/hr

Full-time

Re-posted 16 days ago

Job description


Note: Final location of the role is open to negotiation.

About Bitdeer:

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

What you will be responsible for:

    • Design and build distributed systems for cluster management, scheduling, and resource allocation
    • Develop infrastructure platforms that support large-scale AI training and inference workloads
    • Improve reliability, scalability, and efficiency of systems operating at hyperscale
    • Work on container orchestration, cluster scheduling, and workload isolation
    • Optimize performance across compute, networking, and storage layers
    • Build automation tools for infrastructure provisioning and operations (Infrastructure as Code)
    • Collaborate with hardware, networking and ML teams to deliver end-to-end infrastructure solutions

    How you will stand out:

    • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field from top universities
    • 0 to 2 years of working experience in related fields
    • Strong programming skills in at least one of: Go, C++, Python, or Rust
    • Solid understanding of 1) Data structures and algorithms 2) Operating systems fundamentals 3) Computer networks (TCP/IP, distributed systems basics)
    • Interest in AI Infrastructure, high-performance computing (HPC) and cloud systems

    What you will experience working with us:

    • Attractive compensation package, welfare benefits and developmental opportunities such as training and mentoring.
    • A culture that values authenticity and diversity of thoughts and backgrounds;
    • An inclusive and respectable environment with open workspaces and exciting start-up spirit;
    • Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
    • Ability to contribute directly and make an impact on the future of the digital asset industry;
    • Involvement in new projects, developing processes/systems;
    • Personal accountability, autonomy, fast growth, and learning opportunities;

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    Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.


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