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Ml Inference Jobs in Eaton, OH (NOW HIRING)

Prophecy Technologies

Java Lead Developer

Mason, OH · On-site

AI/ML Awareness (supportive) Integrate services with existing ML inference endpoints; validate payloads and handle model-driven response patterns. Support controlled rollouts for model-dependent ...

CYNET SYSTEMS

Java Technical Lead

Mason, OH · On-site

$56 - $61/hr

Integrate services with existing ML inference endpoints; validate payloads and handle model-driven response patterns. * Support controlled rollouts for model-dependent features in coordination with ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

... for inference optimization; RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge. * Containerization strategies for ML workloads;

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

... for inference optimization; RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge. * Containerization strategies for ML workloads;

EssilorLuxottica Group

Data Scientist

Mason, OH

Structure scalable ML pipelines for training, inference, and deployment * Develop proof-of-concepts to validate new AI techniques * Convert insights and research outcomes into actionable ...

EssilorLuxottica

Data Scientist

Mason, OH · On-site

Structure scalable ML pipelines for training, inference, and deployment * Develop proof-of-concepts to validate new AI techniques * Convert insights and research outcomes into actionable ...

Essilor

Data Scientist

Mason, OH

Structure scalable ML pipelines for training, inference, and deployment * Develop proof-of-concepts to validate new AI techniques * Convert insights and research outcomes into actionable ...

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All JobsMl Inference JobsMl Inference Jobs in Eaton, OH

Ml Inference information

See Eaton, OH salary details

$32K

$104.8K

$167.8K

How much do ml inference jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ml inference in Eaton, OH is $104,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $116,100.00 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 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 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 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.

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 cities near Eaton, OH are hiring for Ml Inference jobs?

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

Ml Inference jobs near you

Java Lead Developer

Prophecy Technologies

Mason, OH • On-site

Full-time

Re-posted 16 hours ago

Job description

Role: Java Lead Developer
Location: Mason, OH (Hybrid)
Duration: 12+ Months
Requirements:
• Java Development - 10+ Years
• Spring Boot & Microservices - 8+ Years
• REST API Development - 8+ Years
• AWS Cloud (S3, IAM, Security Fundamentals) - 6+ Years
• AWS Glue (Jobs, Crawlers, Workflows) - 4+ Years
• ELT/Data Ingestion Pipelines - 4+ Years
• Apache Iceberg (Schema Evolution, Partitioning, Compaction) - 2+ Years
• Oracle Database / Aurora MySQL - 8+ Years
• MongoDB - 3+ Years
• CI/CD, Git, Maven/Gradle, Automated Testing - 5+ Years
• Technical Leadership (Architecture, Code Reviews, Mentoring) - 3+
Years
• Production Support & Troubleshooting - 5+ Years
• We are looking for a Senior Tech Lead Java API / Microservices Lead
Developer to design, build, and support scalable microservices and REST
APIs on AWS. This is a backend-only role (not full stack). You will lead
technical design, mentor engineers, and ensure secure, reliable, and
high-performance services.
• The role also requires strong knowledge of AWS S3, Glue-based ELT, and
Apache Iceberg tables to support data ingestion, cataloging, and
analytics use cases, plus basic AI/ML awareness for integrating with
model-driven services.
Responsibilities:
• API / Microservices (Java, Spring Boot) Lead the design and
development of microservices and REST APIs using Java and Spring Boot.
• Define API contracts, implement business logic, validations,
standardized error handling, and logging. Apply resiliency patterns
(timeouts, retries, circuit breakers, idempotency) and drive performance
improvements. Conduct code reviews, enforce engineering standards, and
mentor team members.
• AWS & Production Support Build and operate services on AWS, following
security and operational standards (IAM basics, networking awareness,
observability). Support CI/CD, release activities, and production
troubleshooting.
• Data Stores Design and optimize data access with: Oracle Aurora MySQL
MongoDB Perform query tuning/indexing guidance and improve service
performance and reliability. S3 + Glue + Iceberg / ELT (added) Work with
file and table-based data in Amazon S3 (folder/partition design, access
controls, encryption, lifecycle).
• Support ELT pipelines using AWS Glue (jobs, crawlers, workflows) for
ingestion, transformation, and standardization. Design and work with
Apache Iceberg tables (schema evolution, partitioning, table properties,
compaction/maintenance patterns).
• Collaborate with data engineering and analytics teams to enable
consumption via Athena/Glue Data Catalog (and related query engines).
• Troubleshoot data pipeline issues (permissions, catalog/table
visibility, schema mismatches, performance bottlenecks). AI/ML Awareness
(supportive) Integrate services with existing ML inference endpoints;
validate payloads and handle model-driven response patterns. Support
controlled rollouts for model-dependent features in coordination with ML
teams. Required Qualifications Strong experience in Java and Spring Boot
building production APIs/microservices. Strong AWS experience including
S3 and security fundamentals (IAM, encryption, least privilege).
• Hands-on experience with AWS Glue and ELT/data ingestion patterns.
Working knowledge of Apache Iceberg tables (or strong experience with
lakehouse table formats). Strong database experience with Oracle/Aurora
MySQL, plus knowledge of MongoDB. Experience with CI/CD, Git,
Maven/Gradle, and automated testing.
• Strong troubleshooting and communication skills; ability to lead
design discussions. Preferred / Nice to Have Athena optimization
experience (partition pruning, Iceberg maintenance/compaction strategy).
Kafka/event streaming. Docker/Kubernetes (EKS) or ECS. Observability
tools: CloudWatch, Splunk/ELK, Prometheus/Grafana, OpenTelemetry. Python
for scripting/automation. Security: OAuth2/OIDC, JWT, OWASP, Secrets
Manager/Parameter Store. Infrastructure as Code:
Terraform/CloudFormation.

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