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Machine Learning Engineer Jobs in Lebanon, OH (NOW HIRING)

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Stay updated on the latest trends and advancements in AI and machine learning. Qualifications ... Proficiency in programming languages such as Python, R, or Java, and experience with machine ...

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Stay updated on the latest trends and advancements in AI and machine learning. Qualifications ... Proficiency in programming languages such as Python, R, or Java, and experience with machine ...

Senior AI/ML Engineer

Cincinnati, OH · Remote

$107K - $146K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative engineering to ship intelligent, product-driven solutions. This role partners with product, design, and ...

Senior AI/ML Engineer

Cincinnati, OH · On-site +1

$100K - $137K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative engineering to ship intelligent, product-driven solutions. This role partners with product, design, and ...

Engineer

Cincinnati, OH · On-site

$100K - $110K/yr

GEN AI Developer • GenAI Application Engineer with strong core development skills in Java, Spring Boot, APIs, and Microservices • At least one must have concrete machine learning experience. • ...

Design and apply cutting-edge signal processing and machine learning techniques to solve complex ... Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Senior Forward Deployed Engineer- AWS

Cincinnati, OH · On-site

$100K - $137K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

NGA AI Engineer Manager

Cincinnati, OH · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Design and apply cutting-edge signal processing and machine learning techniques to solve complex ... Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ...

Sr Advanced Cloud Developer

Lebanon, OH

$54.75 - $71.25/hr

AI, Machine Learning & MLOps * Build, train, evaluate, and deploy machine learning models using ... Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark ...

Showing results 41-60

Machine Learning Engineer information

See Lebanon, OH salary details

$28.8K

$117.6K

$176.7K

How much do machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer in Lebanon, OH is $117,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Lebanon, OH are hiring for Machine Learning Engineer jobs? Cities near Lebanon, OH with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Lebanon, OH as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $117,587 per year, or $56.5 per hour.

$109K - $132K/yr

Full-time

Re-posted 19 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

173rd of 223 rated it services


Job description

We are looking for a highly skilled and motivated GenAI Applied Research and Data Scientist with a Master's degree to join our innovative research team. The ideal candidate will have strong expertise in the latest advancements in the field of Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference optimization, test-time scaling, and reasoning models. This role requires a hands-on approach to research, development, and implementation of cutting-edge AI solutions.

Key Responsibilities:

  • Conduct advanced research in Generative AI, focusing on the latest advancements in LLMs.
  • Develop and implement advanced techniques in multimodal LLMs, agentic AI, fine-tuning, distillation, inference optimization, test-time scaling, and reasoning models.
  • Collaborate with cross-functional teams to integrate AI solutions into existing and new products.
  • Analyze and interpret complex datasets to drive research and development initiatives.
  • Design, execute, and evaluate experiments to validate new AI models and techniques.
  • Contribute to the publication of research findings in reputable journals and present at conferences.
  • Mentor and guide junior researchers and data scientists.
  • Stay updated on the latest trends and advancements in AI and machine learning.

Qualifications:

  • Master’s degree in Artificial Intelligence or Machine Learning
  • Proven expertise in the latest advancements in LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, inference optimization, test-time scaling, and reasoning models.
  • Strong hands-on experience in research and development of AI models and algorithms.
  • Proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Excellent communication skills, with the ability to present complex ideas clearly and concisely.

What Tata Consultancy Services employees say

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Benefits

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Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US