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Manager Edge Ai Machine Learning Jobs Near Me

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Mimecast Limited

Machine Learning Engineer II

Columbus, OH · On-site

$115 - $150/hr

... Risk Management product. In this role, you will embrace the role of "full-stack" data scientist ... AI-First Engineering at Mimecast**Mimecast is an AI-first engineering organization. Machine ...

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

... Risk Management product. In this role, you will embrace the role of "full-stack" data scientist ... AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

... Risk Management product. In this role, you will embrace the role of "full-stack" data scientist ... AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning ...

AssetWatch, Inc.

Head of AI

Columbus, OH · On-site

... Agents, machine learning, and data science improve customer outcomes, internal productivity, product differentiation, and operational leverage. The Head of AI manages AI workstreams across the ...

Crowe LLP

Machine Learning Engineer

Columbus, OH

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH

$100K - $138K/yr

... machine learning engineers, project managers, and industry experts to develop robust AI ... edge AI, and renewable energy. Key responsibilities: * Work with clients to design, develop, and ...

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How much do manager edge ai machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager edge ai machine learning in the United States is $77,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $87,500.00 per year, depending on experience, location, and employer.

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Manager Edge Ai Machine Learning jobs near you
A map of the United States highlighting the number of Manager Edge Ai Machine Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Manager Edge Ai Machine Learning job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Scientist, Principal - AI Product Engineering (Columbus)

Blue Shield of CA

Columbus, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Your Role

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create intelligence at scale. Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience
  • Bachelor's degree in computer science, a quantitative discipline, or equivalent practical experience; Master's degree or PhD preferred
  • 10 years of prior relevant experience in data science, machine learning, applied AI/ML, software engineering, or advanced analytics
  • Proven track record of building and shipping software products rapidly, not just developing models or analyses
  • Strong software engineering skills and proficiency in Python, including building APIs and backend services
  • Experience leading ML design and optimizing ML infrastructure, model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries
  • Hands-on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph
  • Hands-on experience building applications that leverage generative AI models, including prompt engineering and retrieval-augmented generation (RAG)
  • Experience with generative AI research or applications preferred
  • Experience designing agent-based systems and orchestration frameworks preferred
  • Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark preferred
  • Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management preferred
  • Experience rapidly developing and shipping software in a fast-paced, customer-facing environment, adapting to changing priorities preferred
  • Understanding of responsible AI and governance for regulated or healthcare environments preferred
Hybrid

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.

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