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Privacy Preserving Machine Learning Jobs in Ohio

AssetWatch, Inc.

Head of AI

Columbus, OH

AssetWatch has a unique opportunity to scale how LLMs, Agents, machine learning, and data science ... Commitment to responsible AI practices including data privacy, bias mitigation, and regulatory ...

Adecco

Screw Machine Operator

Hamilton, OH

$19 - $21/hr

... while learning new ones to assist you in your career. The best part is you would be joining a ... To read our Candidate Privacy Information Statement, which explains how we will use your ...

ClifyX

AI/ML Senior Architect

Cincinnati, OH · On-site

... and Machine Learning solutions across various domains. The role involves collaborating with ... data privacy, encryption, and access controls. • Establish auditability and compliance with ...

Adecco

Machine Operator

Delaware, OH

$17 - $19/hr

Mechanically inclined or interested in learning manufacturing skills * Detail-oriented and ... To read our Candidate Privacy Information Statement, which explains how we will use your ...

Adecco

Screw Machine Operator - 2nd Shift

Hamilton, OH · On-site

$19 - $21/hr

... while learning new ones to assist you in your career. The best part is you would be joining a ... To read our Candidate Privacy Information Statement, which explains how we will use your ...

Accenture

Lead AI / ML Engineer

Hartford, OH · On-site

$92K - $121K/yr

Certifications in AI, machine learning, or data science. * + 6 years of experience in projects focused on ethical AI or AI for social good. * Knowledge of AI ethics, data privacy, and regulatory ...

Accenture

Lead AI / ML Engineer

Columbus, OH · On-site

$99K - $130K/yr

Certifications in AI, machine learning, or data science. * + 6 years of experience in projects focused on ethical AI or AI for social good. * Knowledge of AI ethics, data privacy, and regulatory ...

Accenture

Lead AI / ML Engineer

Cleveland, OH · On-site

$99K - $130K/yr

Certifications in AI, machine learning, or data science. * + 6 years of experience in projects focused on ethical AI or AI for social good. * Knowledge of AI ethics, data privacy, and regulatory ...

Accenture

Lead AI / ML Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Certifications in AI, machine learning, or data science. * + 6 years of experience in projects focused on ethical AI or AI for social good. * Knowledge of AI ethics, data privacy, and regulatory ...

KBR

Data Governance Specialist

Beavercreek, OH

... AI, Machine Learning, advanced analytics, and Digital Engineering initiatives. * Collaborate with domain experts and ensure that the data platforms uphold privacy, security, and compliance ...

KBR, Inc.

Data Governance Specialist

Beavercreek, OH · On-site

... AI, Machine Learning, advanced analytics, and Digital Engineering initiatives. * Collaborate with domain experts and ensure that the data platforms uphold privacy, security, and compliance ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Ohio

Privacy Preserving Machine Learning information

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What job categories do people searching Privacy Preserving Machine Learning jobs in Ohio look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Privacy Preserving Machine Learning jobs? Cities in Ohio with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you

Head of AI

AssetWatch, Inc.

Columbus, OH

Full-time

Re-posted 9 hours ago

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

The base salary range for this full-time position is posted below, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process.

The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process.

AssetWatch Salary Range (US)
$244,000—$282,000 USD
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.