Top 13 Series engineer, Jobs in Columbus

Head of AI
AssetWatch, Inc. —Columbus, OH
- $244,000 - $282,000 a year
- Remote
- Computer Science
- AWS
- Doctor of Philosophy
- Flexible schedule
- Retirement plan
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14d
AI Engineer
Fiserv —Columbus, OH
- $109,000 - $182,400 a year
- Full-time
- Computer Science
- Office
- US work authorization
- Employee stock purchase plan
- Paid holidays
Electrical Validation and Integration Engineer
ADB Safegate —Columbus, OH
- English
- Databases
- Continuous improvement
Electronics Engineer (6 month Register)
US Defense Logistics Agency —Whitehall, OH
- $52,654 - $121,422 a year
- Part-time
- Hybrid work
- Doctoral degree
- Up to 50% travel
- Engineering
Machine Learning Engineer II
Mimecast —Columbus, OH
- $124,000 - $186,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Columbus, OH
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office
Omron PLC programmer
Verito Solutions —Lewis Center, OH
- $60 - $61 an hour
- Temporary
- 5 years
- In-person
- Senior level
Quick Apply
13d
Rigging Specialist
Fulcrum Lifting, LLC —Columbus, OH
- $65,000 - $75,000 a year
- Full-time
- Hybrid work
- Spanish
- OSHA
- English
- Paid training
- Disability insurance
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AI Senior Manager - SFL Scientific
Deloitte —Columbus, OH
- $189,200 - $372,900 a year
- Full-time
- Computer Science
- System design
- Office

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Head of AI
AssetWatch, Inc. —Columbus, OH
Bachelor's degree in computer science, data science, AI, engineering, or a related field required. The leader must stay close to the field, understand modern AI…
$244,000 - $282,000 a year
Quick Apply
14d
AI Engineer
Fiserv —Columbus, OH
Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a recognized…
$109,000 - $182,400 a year

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series engineer, jobs near columbus

Head of AI

AssetWatch, Inc.
Columbus, OH

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Job Details

$244,000 - $282,000 a year
14 days ago

Benefits

Stock options
Unlimited paid time off
Flexible schedule
Retirement plan

Qualifications

AI models
Master's degree in business administration
AI use case identification
Time series models
Strategic management
Master's degree in business
Computer Science
Data privacy laws
Signal processing
Automation
Tooling
Enterprise software
Talent management
Regulatory compliance
Predictive maintenance
Prioritizing technology investments (IT roadmap design and development)
IoT systems
Collaboration with board members
Managing IT teams
Cost control
AI platforms (beyond public GPTs)
Managing data teams
ROI
Change management
Product vision management
Team development
Collaboration with product development teams
AWS
Machine intelligence
Outlier detection

Full Job Description

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

AssetWatch has a unique opportunity to scale how LLMs, 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 company, turns scattered AI experiments into governed and measurable operating capability, and leads the Data Science function.

This is AssetWatch's central strategic leadership role, requiring direct, hands-on involvement. The leader must stay close to the field, understand modern AI and data science deeply enough to scope work directly, and help the company adapt as the technology and vendor ecosystem evolves. Reporting to the CEO, the role demands a blend of strategic vision, technical fluency, ethical leadership, and change management skills.

WHAT YOU WILL DO

Define and Execute AI Strategy

Partner with executive leadership to define AssetWatch's AI-native vision, operating model, and continue to build our roadmap heading into 2027 and beyond.
Identify where AI can create competitive advantage, drive efficiency, and unlock new customer value, which open new revenue streams.
Keep the strategy current as AI capabilities, tooling, and vendor constraints change.

Lead the AI and Data Science Organization

Build, lead, and develop the team across Machine Learning Engineering, Machine Learning , and AI Engineering.
Recruit, develop, and retain high-performing data scientists, ML engineers, and AI engineers.
Establish clear ROI-based goals, accountability, technical standards, and leadership coverage as the team scales.

Run Intake, Prioritization, and Governance

Clarify incoming requests by outcome, owner, data dependency, business impact, and build-vs-buy path.
Establish guardrails for AI tools, agents, model usage, data access, and acceptable use without slowing down adoption.
Set AI Strategy and OKRs in partnership with senior leadership and translate them into measurable team goals with proven ROI.

Advance ML, MLOps, and Applied AI

Guide development of physics-based models that improve AssetWatch's reliability intelligence, including anomaly detection, ranking, explainability, and alert quality.
Ensure production ML systems are monitored, repeatable, and operationally reliable.
Drive AI engineering work including agentic workflows, internal productivity tools, and customer-facing experiences.

Partner Across the Business

Work with Product and Engineering to turn AI opportunities into scoped bets with clear owners and delivery paths.
Partner with GTM, Customer Success, and Operations to identify high-leverage AI opportunities and improve field workflows.
Collaborate with HR, finance, supply chain, and customer support to implement AI-driven automation.

Measure Impact and Communicate Up

Define how AI impact is measured and connect AI investments to customer outcomes, efficiency, and revenue.
Maintain a clear narrative for the CEO, board, and cross-functional leaders on priorities, progress, and tradeoffs.
Evaluate vendors and tooling; recommend when to build, buy, or combine approaches.

WHAT WE ARE LOOKING FOR

Experience

10 or more years leading AI, machine learning, data science, or adjacent data or software\ technical teams.
Proven track record setting technological strategy in a fast-moving environment and delivering large-scale initiatives.
Experience managing cross-functional teams and partnering with senior executive stakeholders.

Technical Depth

Hands-on fluency with modern AI and data science, enough to scope work, evaluate quality, and challenge assumptions.
Working knowledge of production ML, MLOps, evaluation, governance, and AI systems lifecycle.
Familiarity with state-of-the-art approaches including large language models, agentic architecture, and machine learning.

Business and Leadership Skills

Strong judgment connecting technical work to customer value, revenue impact, cost control, and risk reduction.
Excellent communicator, able to translate complex AI concepts for non-technical executives and inspire technical teams.
Commitment to responsible AI practices including data privacy, bias mitigation, and regulatory compliance.

Education

Bachelor's degree in computer science, data science, AI, engineering, or a related field required.
Advanced degree (MSc, PhD, or MBA with technology focus) preferred.

NICE TO HAVE

Background in industrial technology, predictive maintenance, manufacturing, IoT, or condition monitoring.
Experience with time-series data, signal processing, anomaly detection, or sensor-driven products.
Experience with AWS, MLOps tooling, cloud data platforms, and enterprise SaaS integrations.

#LI-REMOTE

What We Offer:
AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that's why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.

Competitive compensation package including stock options
Flexible work schedule
Comprehensive benefits including retirement plan match
Opportunity to make a real impact every day
Work with a dynamic and growing team
Unlimited PTO

We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.

Quick Apply

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series engineer, jobs in columbus

Head of AI

AI Engineer

Electrical Validation and Integration Engineer

Electronics Engineer (6 month Register)

Machine Learning Engineer II

Senior Data Scientist Engineer - SFL Scientific

Omron PLC programmer

Rigging Specialist

AI Senior Manager - SFL Scientific

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