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Drift Jobs in Ohio (NOW HIRING)

... data drift • Improving shared tools, frameworks, and best practices • Communicating insights and recommendations to stakeholders Qualifications : Required : • 3-5 years of professional data ...

Portfolio Manager

Cleveland, OH · On-site

$200 - $250/hr

Own drift-based monitoring and model rebalancing, keeping portfolios within client risk tolerance, objectives, and regulatory constraints. Manage trade approvals, exceptions, and non-discretionary ...

Own the infrastructure-as-code estate, keeping drift visible and reconciled, and setting module standards the rest of the team builds against. * Advance the delivery pipeline, including policy-as ...

Senior Security Engineer, IAM

Columbus, OH · On-site

$107K - $146K/yr

Design governance for non-human identities (service accounts, workloads, secrets) with automated drift detection and policy-as-code enforcement. Detection, Response & Threat Context * Lead ...

Sr Cloud Engineer

Columbus, OH · Hybrid

$137K - $205K/yr

Leverage AI to improve operational effectiveness, such as analyzing logs, metrics, incidents, and configuration drift, and to support faster rootcause analysis and remediation. * Design, build, and ...

Sr Cloud Engineer

Columbus, OH · Hybrid

$137K - $205K/yr

Leverage AI to improve operational effectiveness, such as analyzing logs, metrics, incidents, and configuration drift, and to support faster root‑cause analysis and remediation. * Design, build ...

Data Scientist

Cincinnati, OH · On-site

$80 - $100/hr

Monitoring model performance and data drift * Improving shared tools, frameworks, and best practices * Communicating insights and recommendations to stakeholders What you'll need: * Advanced degree ...

Monitoring model performance and data drift* Improving shared tools, frameworks, and best practices* Communicating insights and recommendations to stakeholdersWhat you'll need:* Advanced degree ...

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time. * Architect and develop high-performance backend services and APIs using Python ...

OH · On-site

Implement monitoring and observability for model performance in production, benchmarking outputs and cost, detecting drift with ongoing and continuous reporting to management, utilizing micro ...

Use test-driven practices to constrain agent output and catch drift early. * Ensure appropriate automated test coverage across unit, integration, end-to-end, and contract tests based on risk.

Use test-driven practices to constrain agent output and catch drift early. * Ensure appropriate automated test coverage across unit, integration, end-to-end, and contract tests based on risk.

Use test-driven practices to constrain agent output and catch drift early. * Ensure appropriate automated test coverage across unit, integration, end-to-end, and contract tests based on risk.

Use test-driven practices to constrain agent output and catch drift early. * Ensure appropriate automated test coverage across unit, integration, end-to-end, and contract tests based on risk.

AI Software Lead

Cincinnati, OH · On-site

$150 - $200/hr

Use test-driven practices to constrain agent output and catch drift early. * Ensure appropriate automated test coverage across unit, integration, end-to-end, and contract tests based on risk.

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Showing results 1-20

Drift information

See Ohio salary details

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How much do drift jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for drift in Ohio is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $23.32 per hour, depending on experience, location, and employer.

What is a drift?

A Drift, in most professional contexts, refers to a role associated with the company Drift, which specializes in conversational marketing and sales software. People working at Drift typically help businesses engage website visitors through chatbots, real-time messaging, and automation tools to accelerate sales and improve customer experience. Their responsibilities may include software development, customer support, sales, marketing, or product management, all focused on enhancing digital conversations. Drift employees work to create seamless communication between businesses and their customers, often using AI-driven solutions. The specific duties depend on the exact position within the company.

What are the key skills and qualifications needed to thrive as a drift driver?

To thrive as a Drift Driver, you need advanced car control skills, in-depth knowledge of vehicle dynamics, and experience in motorsport, often supported by a valid racing or motorsport license. Mastery of high-performance vehicles, familiarity with safety gear, and understanding of telemetry systems are typically required. Quick decision-making, concentration under pressure, and strong communication with pit crews are standout soft skills in this role. These abilities ensure safety, competitive performance, and effective teamwork in the fast-paced, high-risk environment of drift racing.

What are some typical challenges faced by drift operators, and how can they effectively address them?

Drift Operators often encounter challenges such as monitoring complex underground mining equipment, ensuring safety protocols are strictly followed, and responding quickly to unexpected issues like equipment malfunctions or hazardous conditions. Effective communication with team members and supervisors is crucial, as is staying current with safety training and operational procedures. Proactively identifying potential hazards and being adaptable in problem-solving are key strategies to excel in this role.

What is the difference between Drift vs Chatbot Developer?

AspectDriftChatbot Developer
Primary RoleDesigns and manages live chat and conversational marketing toolsDevelops and programs chatbots for various platforms
Required SkillsCustomer engagement, marketing automation, basic codingProgramming, AI, natural language processing
Work EnvironmentMarketing teams, SaaS companies, customer supportDevelopment teams, AI firms, tech companies
CertificationsMarketing automation, CRM toolsProgramming languages, AI certifications

Drift focuses on live chat and conversational marketing tools used primarily in sales and customer support, while Chatbot Developers create AI-driven chatbots across platforms. Both roles require technical skills, but Drift roles lean more toward marketing automation, whereas Chatbot Developers focus on AI programming and natural language processing.

What are popular job titles related to Drift jobs in Ohio?

For Drift jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Drift jobs?

Cities in Ohio with the most Drift job openings:

Infographic showing various Drift job openings in Ohio as of August 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $44,247 per year, or $21.3 per hour.

MLOps Engineer (Databricks/AWS)

Inabia Solutions and Consulting, Inc.

Columbus, OH • On-site

Contractor

Re-posted 20 days ago


Key responsibilities

  • Design, develop, and maintain end-to-end MLOps pipelines on Databricks running on AWS.

  • Build and automate machine learning workflows covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.

  • Deploy and manage ML models using MLflow Model Registry and Databricks Model Serving.


Job description

Overview
Inabia is seeking an MLOps Engineer (Databricks/AWS) to design, develop, and maintain end-to-end machine learning operations pipelines on Databricks running on AWS. This role demands deep hands-on expertise with Databricks Machine Learning, MLflow, and a broad suite of AWS services to build scalable, production-grade ML systems. The ideal candidate will partner closely with Data Scientists, Data Engineers, and Platform Engineering teams to productionize models and ensure robust, governed, and cost-efficient deployments.
Locations: Columbus, OH - Dallas, TX - Atlanta, GA (Onsite only)
Responsibilities
  • Design, develop, and maintain end-to-end MLOps pipelines on Databricks running on AWS.
  • Build and automate machine learning workflows covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
  • Deploy and manage ML models using MLflow Model Registry and Databricks Model Serving.
  • Develop and maintain CI/CD pipelines for ML solutions across development, staging, and production environments.
  • Collaborate with Data Scientists to productionize machine learning models and ensure reliable, repeatable deployments.
  • Monitor model health, prediction quality, data drift, and system performance, and implement automated retraining strategies where required.
  • Optimize Databricks workloads for performance, scalability, and cost efficiency.
  • Implement Infrastructure as Code using Terraform to provision and manage Databricks and AWS resources.
  • Ensure platform security, governance, and compliance using Unity Catalog and AWS IAM.
  • Troubleshoot production issues, perform root cause analysis, and continuously improve platform reliability.
  • Document MLOps processes, deployment standards, and operational best practices.

Key Qualifications
  • 10+ years of relevant experience in MLOps or a closely related data/ML engineering discipline.
  • Strong hands-on experience with Databricks Machine Learning.
  • Proficiency in Python, PySpark, and SQL for developing and operationalizing machine learning solutions.
  • Hands-on experience with MLflow for experiment tracking, model registry, model versioning, and lifecycle management.
  • Experience deploying and managing machine learning models using Databricks Model Serving and batch inference pipelines.
  • Strong understanding of the end-to-end ML lifecycle, including feature engineering, training, validation, deployment, monitoring, and retraining.
  • Experience building scalable ML pipelines using Databricks Workflows and Delta Lake.
  • Hands-on experience with AWS services including S3, IAM, EC2, Lambda, ECR, ECS/EKS, CloudWatch, and Secrets Manager.
  • Experience implementing CI/CD pipelines for Databricks and ML workloads using Git, Bitbucket, Jenkins, and Databricks Asset Bundles (DAB).
  • Experience with infrastructure automation using Terraform.
  • Strong understanding of Apache Spark architecture, optimization, and distributed data processing.
  • Experience working with Unity Catalog for governance, security, and access management.
  • Knowledge of model monitoring, data drift detection, and automated retraining strategies.
  • Understanding of MLOps best practices including reproducibility, versioning, testing, and governance.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with multi-environment Databricks deployments spanning development, staging, and production.
  • Familiarity with cost optimization strategies for large-scale Databricks and AWS workloads.
  • Prior experience documenting MLOps operational standards for cross-functional teams.