Top 104 Ai/ml engineer Jobs in Blue Ash, Oh

Lead AI/ML Engineer (P4645)
84.51° —Cincinnati, OH
- $125,000 - $207,000 a year
- Computer Science
- System design
- Office
- Health savings account
- AD&D insurance
8d
Data Scientist, AI
American Modern Insurance Group —Amelia, OH
- Full-time
- Remote
- Computer Science
- Master's degree
- Analysis skills
- Free parking
- AD&D insurance
AI Engineering Consultant - Utilities
Accenture —Cincinnati, OH
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
- Paid holidays
- Disability insurance
11d
MLOps Engineer — AI/ML Systems Deployment (TS/SCI Preferred)
Rackner —Cincinnati, OH
- Travel
- APIs
- In-person
- Disability insurance
- Health insurance
Quick Apply
ERP AI Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Cincinnati, OH
- $77,000 - $202,000 a year
- Computer Science
- 3 years
- Master's degree
- Paid holidays
- Health insurance
AI Engineer - Automated Channels Transformation
Fifth Third Bank —Cincinnati, OH
- Full-time
- 6 years
- Computer Science
- Office
Data & ML Engineer
Luxottica Wholesale North America —Mason, OH
- Full-time
- Computer science
- Computer Science
- AWS
- Health insurance
- Paid time off
Agentic AI, AI & Data Science Engineer
Deloitte —Cincinnati, OH
- $122,000 - $240,500 a year
- Full-time
- Computer Science
- Up to 50% travel
- Mid-level
Payer Dev, Git & ML-Ops Engineer, Senior Associate
PRICE WATERHOUSE COOPERS —Cincinnati, OH
- $77,000 - $202,000 a year
- Computer science
- Azure
- Computer Science
- Paid holidays
- Health insurance
Agentic Capability AI and Data Science Engineer
Deloitte —Cincinnati, OH
- $131,000 - $218,300 a year
- Full-time
- Computer Science
- Up to 50% travel
- System design
Senior ML Software Engineer
Worldpay (UK) Limited —Cincinnati, OH
- Full-time
- System design
- AWS
- Mentoring
Quick Apply
AI Native Transformation Enterprise Consultant
Accenture —Cincinnati, OH
- $59,100 - $196,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
Cyber Zscaler Network Security Engineer / Senior Consultant, Strategy, Growth, and Transformation
Deloitte —Cincinnati, OH
- $105,400 - $207,800 a year
- Full-time
- Computer science
- Computer Science
- Up to 50% travel
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Cincinnati, OH
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —Ohio
- Full-time
- Remote
- Senior level
Quick Apply
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —Cincinnati, OH
- Full-time
- Remote
- Senior level
Quick Apply
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Ohio
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Cincinnati, OH
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —Cincinnati, OH
- Full-time
- Remote
- Senior level
Quick Apply
Senior Kinetics DE/CD Engineer
Leidos —Ohio
- $131,300 - $237,350 a year
- Full-time
- Hybrid work
- System design
- 11+ years
- Windows

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ai/ml engineer jobs near blue ash, oh

Lead AI/ML Engineer (P4645)

84.51° -
Cincinnati, OH

Apply Now

Job Details

$125,000 - $207,000 a year
8 days ago

Benefits

Health savings account
AD&D insurance
Paid holidays
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching

Qualifications

AI models
Containerization systems
Software engineering
Predictive modeling analysis
Engineering development testing
Continuous deployment
Performance optimization
Tooling
Team leadership
Spark
NumPy
System design
Application deployment
AI platforms (beyond public GPTs)
Infrastructure architecture design
System design for system development
Pandas
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Version control systems
Developing large-scale AI models
Prototype creation
Leading team collaboration initiatives
Scalability
Software testing
System deployment
DevOps automation
Machine learning libraries

Full Job Description

84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

__________________________________________________________

LEAD AI/ML ENGINEER (P4645)

SUMMARY

As a Lead AI/ML Engineer (G3) on the Labs team, you will serve as a hands-on technical lead at the intersection of classical optimization science and modern AI/ML. Our Labs team has a strategic focus on building AI-enhanced optimization systems, designing AI layers that augment, accelerate, and extend classical optimization engines to unlock solutions that neither approach achieves alone. This is not a generalist ML role: you will bring deep optimization foundations and use them as the platform on which the next generation of intelligent, adaptive systems are built.
You will contribute code daily, serve as one of the team's primary subject-matter experts on optimization formulations, solver selection, and hybrid architecture design, mentor engineers and researchers, and partner with cross-functional stakeholders to define, deliver, and scale production systems across Kroger.

RESPONSIBILITIES
Serve as a hands-on developer responsible for building and maintaining end-to-end ML, AI, and optimization-based solutions
Design and build hybrid AI/optimization systems including ML-guided search, learned warm starts, neural network surrogate models, and AI-augmented constraint formulations that improve the performance, scalability,interpretability and adaptability of classical optimization solvers
Lead technical design, implementation, and review processes for POCs and production-ready systems
Lead end-to-end solution lifecycle—from rapid prototyping through to scaling and hand-off to production teams in partnership with other data scientists and engineers within Labs and across the business
Serve as one of the team's primary technical resources on optimization problem formulations, solver selection, and performance benchmarking across constraint types and problem scales
Partner with researchers and data scientists to co-develop, scale, and operationalize new algorithms
Architect and implement robust ML(AI)Ops pipelines that support experimentation, deployment, and monitoring
Build reusable ML components and APIs that enable modularity and scalability across business areas
Evaluate and adopt emerging technologies and tooling that can enhance experimentation and delivery speed
Drive technical best practices in code quality, documentation, observability, and team knowledge sharing
Drive experimentation and benchmarking to select performant solutions that balance complexity and business value
Contribute to Labs’ collaborative, research-forward culture by learning, sharing, and mentoring both junior and senior engineers and researchers on industry-leading and cutting-edge technologies
Lead and participate in code reviews and technical architecture planning to ensure adherence to preferred patterns and standards
Represent Labs in technical forums; proactively mentor junior and peer engineers
Collaborate with product and business stakeholders to align technical execution with innovation goals

REQUIRED QUALIFICATIONS
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field
4+ years experience experience developing ML, AI, or optimization systems, including production deployment and scaling
Strong software engineering fundamentals and daily coding experience in Python
Deep proficiency in Python and fluency in NumPy, pandas, PySpark and at least 3 of the following MLand Optimization libraries - PyTorch, TensorFlow, scikit-learn, and Pyomo (Pyomo proficiency is specifically required).
Hands-on experience architecting and productionizing at least one type of optimization problem (e.g., network optimization, vehicle routing, scheduling, facility location, or resource allocation).
Practical experience with at least two industry-standard optimization solvers such as Gurobi, CPLEX, OR-Tools, Pyomo, PuLP, CBC, or SCIP.
Demonstrated experience designing or prototyping hybrid AI/optimization systems where ML or AI components (surrogate models, learned heuristics, prediction models, AI chatbots) interact with or augment classical optimization solvers
Hands-on experience designing CI/CD and MLOps workflows using tools such as MLflow, Azure ML, or Databricks
Familiarity with cloud platforms (Azure preferred), containerization (Docker), and orchestration (Kubernetes)
Experience with modern software development practices including testing, logging, observability, and version control
Ability to lead projects through ambiguity and collaborate in highly cross-functional teams

PREFERRED EXPERIENCE
Deep knowledge of operations research fundamentals such as linear programming, integer programming, mixed-integer programming, constraint programming, stochastic optimization, or combinatorial optimization
Experience integrating reinforcement learning, neural combinatorial optimization, or other ML-driven approaches with classical solver frameworks (e.g., ML-guided branching, policy-based heuristics, or graph neural networks for combinatorial problems)
Familiarity with applied research at the optimization/AI/ML intersection such as learning to optimize, predict-then-optimize, end-to-end differentiable optimization, algorithm selection via ML, AI assisted optimization.
Strong track record of partnering with researchers to translate early-stage ML ideas into deployable systems
Experience prototyping and scaling AI solutions in applied environments
Experience designing experiment platforms or reusable ML/optimization infrastructure
Demonstrated leadership in evaluating trade-offs between performance, complexity, and maintainability
Familiarity with real-time or batch data processing systems
Leadership in navigating trade-offs between performance, complexity, and long-term maintainability

#LI-SSS

Pay Transparency and Benefits

The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range

$125,000 - $207,000 USD

Apply Now

Refine Your Search

ai/ml engineer jobs in blue ash, oh

Lead AI/ML Engineer (P4645)

Data Scientist, AI

AI Engineering Consultant - Utilities

MLOps Engineer — AI/ML Systems Deployment (TS/SCI Preferred)

ERP AI Engineer - Senior Associate

AI Engineer - Automated Channels Transformation

Data & ML Engineer

Agentic AI, AI & Data Science Engineer

Payer Dev, Git & ML-Ops Engineer, Senior Associate

Agentic Capability AI and Data Science Engineer

Senior ML Software Engineer

AI Native Transformation Enterprise Consultant

Cyber Zscaler Network Security Engineer / Senior Consultant, Strategy, Growth, and Transformation

AWS AI Engineer / USC and GC Candidates can ONLY Apply

GENAI / MACHINE LEARNING AI / DATA Scientist

GENAI / MACHINE LEARNING AI / DATA Scientist

AWS AI Engineer / USC and GC Candidates can ONLY Apply

AWS AI Engineer / USC and GC Candidates can ONLY Apply

GENAI / MACHINE LEARNING AI / DATA Scientist

Senior Kinetics DE/CD Engineer

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