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Machine Learning Engineer Opt Jobs in Cleveland, OH

Park Place Technologies

Data Engineer

Highland Heights, OH

$111K - $133K/yr

Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML. * Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... prompt engineering workflows and fine-tune models using domain-specific data • Evaluate and benchmark machine learning and LLM model performance • Work with large-scale structured and ...

Park Place Technologies

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML. * Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.

Pwc

CTIO AI Engineering Manager

Cleveland, 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 ...

Pwc

NGA AI Engineer Manager

Cleveland, 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 ...

Pwc

NGA AI Engineer Senior Manager

Cleveland, OH · On-site

$91K - $321K/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 ...

Sarian, Inc.

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Python Programming: Proficiency in Python language and its ecosystem. * Frameworks: Knowledge of ... Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for ...

Tata Consultancy Service Limited

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Strong programming background in Python, deep understanding of machine learning algorithm. * Evaluate and select appropriate AI frameworks, tools and cloud services. * Lead the architecture, design ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Cleveland, OH

Machine Learning Engineer Opt information

See Cleveland, OH salary details

$30.6K

$124.9K

$187.7K

How much do machine learning engineer opt jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning engineer opt in Cleveland, OH is $124,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,300.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
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Machine Learning Engineer Opt jobs near you
Data Engineer

Data Engineer

Park Place Technologies

Highland Heights, OH

$111K - $133K/yr

Full-time

Posted 17 hours ago

Park Place Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

92nd of 210 rated it services

Job description

Data Engineer

The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal; which enables our organization to utilize data for performance evaluation and optimization.

What you’ll be doing:

  • Implement pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with well-established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
  • Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
  • Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.
  • Interpret requirements provided by Business and Data Analysts.
  • Act as a liaison with Business Analysts and Testing teams to promote smooth development execution.
  • Triage and troubleshoot perceived data aberrations submitted by the user community.
  • Other duties as assigned.

What we’re looking for:

  • 2+ years of practical or collegiate experience (or equivalent) in Python related to data engineering (spark, pandas, etc).
  • 2+ years of practical or collegiate experience (or equivalent) in SQL related to data engineering (or equivalent collegiate experience / certifications).
  • Solid understanding of the Software Development Life Cycle.
  • Good data analytics background.
  • Motivated individual looking to expand their knowledge in all areas of Data Engineering, Analytics and AI.

Bonus Points: 

  • Microsoft Cloud Certification
  • Familiarity with machine Learning and AI

Education: 

  • Bachelor’s Degree or Relevant Certifications & equivalent years of experience 

Travel: 

  • <10%

What Park Place Technologies employees say

Pay

Hours and flexibility

Workplace

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