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Ml Infrastructure Engineer Jobs Near Me

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

Job Title: ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid - 3 Days Onsite) OR ... Build production-ready machine learning systems and infrastructure. * Productionize machine ...

Deloitte

Azure/Databricks Infrastructure Engineer

Columbus, OH · On-site

$53.75 - $72/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

Mimecast

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical ... This role sits at the intersection of infrastructure engineering and machine learning. You will own ...

Mimecast

Senior ML Ops Engineer

Columbus, OH

$100K - $138K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical ... This role sits at the intersection of infrastructure engineering and machine learning. You will own ...

Mimecast Limited

Senior ML Ops Engineer

Columbus, OH · On-site

$148 - $222/hr

Senior ML Ops Engineer**## **Overview**As a Senior ML Ops Engineer at Mimecast, you will be a ... This role sits at the intersection of infrastructure engineering and machine learning. You will own ...

Whiz Global LLC

ML engineer

Columbus, OH · On-site

ML Engineering role focused on building AI solutions and integrating them into the existing ... Experience with cloud infrastructure (must-have). * Ability to deploy applications in both Public ...

Path Robotics

Senior Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

You'll work closely with our research teams and our data platform team - leveraging their data and ML infrastructure expertise - while focusing on creating a robust, scalable, and developer-friendly ...

Path Robotics

Senior Software Engineer

Columbus, OH

$118K - $156K/yr

You'll work closely with our research teams and our data platform team - leveraging their data and ML infrastructure expertise - while focusing on creating a robust, scalable, and developer-friendly ...

The Hartford

Reliability Engineer

Columbus, OH · Hybrid

$99K - $124K/yr

Reliability Engineer - IE08GE We're determined to make a difference and are proud to be an ... infrastructure automation and tooling development. * Experience in AI/ML frameworks for ...

The Hartford

Reliability Engineer

Columbus, OH · Hybrid

$99K - $124K/yr

Reliability Engineer - IE08GE We're determined to make a difference and are proud to be an ... infrastructure automation and tooling development. * Experience in AI/ML frameworks for ...

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How much do ml infrastructure engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ml infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.
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Ml Infrastructure Engineer jobs near you
A map of the United States highlighting the number of Ml Infrastructure Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Ml Infrastructure Engineer job openings in each state, with California having the most at 2 and Alaska the least at 0.

ML Engineer

Whiz Global LLC

Columbus, OH • On-site

Other

Posted 20 days ago

Job description

Job Title: ML Engineer (AI/LLM & Cloud)

Location: Jersey City, NJ (Hybrid – 3 Days Onsite) OR Columbus, OH (5 Days Onsite)
Duration: Contract-to-Hire

Job Summary

We are seeking a highly experienced ML Engineer to design, build, deploy, and integrate enterprise-scale AI/ML solutions within the JPMorgan Chase ecosystem. This role focuses on engineering production-ready machine learning applications, Large Language Model (LLM) solutions, and cloud-native ML platforms while partnering closely with Data Science teams and business stakeholders.

The ideal candidate is a hands-on engineer with strong Python expertise, cloud experience, and MLOps knowledge who can lead technical initiatives and deliver scalable AI solutions.

Key Responsibilities
  • Design, develop, deploy, and maintain scalable AI/ML applications.
  • Build production-ready machine learning systems and infrastructure.
  • Productionize machine learning models developed by Data Science teams.
  • Design and deploy Large Language Model (LLM) applications.
  • Integrate AI solutions into AWS and JPMorgan Chase internal cloud platforms.
  • Develop scalable model serving and inference pipelines.
  • Implement CI/CD pipelines for ML applications.
  • Build monitoring, observability, model drift detection, and automated retraining solutions.
  • Optimize AI applications for performance, scalability, reliability, and cost.
  • Collaborate with Product Managers, Data Scientists, Software Engineers, and Business SMEs.
  • Mentor junior engineers and provide technical leadership through architecture guidance and code reviews.
  • Research and implement modern AI/ML technologies and best practices.
Required Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Engineering, Data Science, or a related field.
  • 10+ years of hands-on experience developing and deploying machine learning solutions in production.
  • Expert-level programming experience with Python.
  • Basic understanding of Java or Scala.
  • Strong experience with software engineering principles, data structures, algorithms, and distributed systems.
  • Extensive experience with AWS Cloud.
  • Experience deploying applications across public cloud and enterprise cloud platforms.
  • Hands-on experience with Docker and Kubernetes.
  • Strong experience with MLOps tools including MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Experience implementing CI/CD pipelines for machine learning applications.
  • Experience designing scalable ML infrastructure and distributed data processing systems.
  • Proven ability to lead technical initiatives and mentor engineering teams.
Preferred Qualifications
  • Experience building and deploying Large Language Model (LLM) solutions.
  • Hands-on experience with Amazon Bedrock.
  • Experience with Generative AI applications.
  • Strong understanding of TensorFlow, PyTorch, or Scikit-learn.
  • Experience with Deep Learning, NLP, or Computer Vision.
  • Experience with distributed model training and high-throughput inference systems.
  • Knowledge of model optimization and AI performance tuning.

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