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Machine Learning Engineer Opt Jobs in Kentucky (NOW HIRING)

Pwc

CTIO AI Engineering Manager

Louisville, KY · 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 ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Support deployment and operationalization of machine learning models by integrating pipelines with ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Support deployment and operationalization of machine learning models by integrating pipelines with ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Pwc

NGA AI Engineer Manager

Louisville, KY · 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

Louisville, KY · 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 ...

Bausch + Lomb

AI Agent ML Engineer

Frankfort, KY

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

PNC Bank

Fraud Model Analyst

Louisville, KY · On-site

$58K - $134K/yr

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Mining, Data Science, Machine Learning (ML), Python (Programming Language), R Programming ...

Trackmind

$56 - $73.75/hr

... AI, Machine Learning, LLMs, RAG, and Agentic AI to help build next-generation AI-powered ... Prompt Engineering, AI Evaluation, Monitoring, and Governance Preferred Qualifications: ⭐ ...

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Machine Learning Engineer Opt information

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.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They are sought after for their skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, and cloud platforms, making this a strong career choice for those with relevant expertise.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances because they develop and refine AI models, requiring specialized skills in programming, data analysis, and domain knowledge. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI automation. Continuous learning and adapting to new tools and technologies will be essential for job security across many fields.

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 is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and leadership responsibilities.

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.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or tech, can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
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What job categories do people searching Machine Learning Engineer Opt jobs in Kentucky look for? The top searched job categories for Machine Learning Engineer Opt jobs in Kentucky are:
What cities in Kentucky are hiring for Machine Learning Engineer Opt jobs? Cities in Kentucky with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
AI RESEARCH SCIENTIST/ENGINEER

AI RESEARCH SCIENTIST/ENGINEER

Gen Nine, Inc.

Covington, KY • On-site

Full-time

Posted 28 days ago

Job description

The Company

Gen Nine develops state-of-the-art, hardware and software solutions for healthcare applications. Working at Gen Nine means applying your passion and intellect to help solve some very challenging technical problems and thereby create some of the most advanced products in the world. If you're interested in working with small teams of highly talented and motivated engineers seeking to make a difference in the world, Gen Nine may be the place for you.


Location

This position is based in the vibrant Cincinnati area. Our offices overlook the spectacular Cincinnati skyline and are within walking distance to downtown shopping, shopping malls, restaurants, entertainment, waterfront parks, major league sporting venues and are less than a 20-minute drive to CVG, an international airport.


Position

We are looking for a creative expert who is interested in applying AI techniques to solve problems in healthcare. These include biological simulations, sensor data processing and analysis, and health and safety monitoring as part of multiple full-time, multi-year research and development projects funded by the National Institutes of Health. This is a paid, full-time, onsite position.


Skills, Experience and Qualifications

  • The ideal candidate will be a passionate engineer/scientist who is comfortable in both the hardware and software worlds with an advanced degree in Computer Science, Engineering, or another STEM field.
  • Excellent programming skills in Python, C++, Tensorflow, PyTorch, CUDA and/or similar languages.
  • Broad familiarity with Deep Learning tools and processes used in 3D Computer Graphics, and Animation.
  • Work experience with machine learning, deep learning, and reinforcement learning.
  • A background in machine learning techniques with large amounts of noisy data, and curiosity in applying it to complex problems.
  • Relevant research experience and publications.
  • Be capable of developing effective techniques and infrastructure, from the initial idea to prototypes and products.
  • Have experience with cloud environments and multi-machine setups.
  • Enthusiasm and the ability to participate in a small-team environment in order to solve interesting and complex problems, with or without supervision.
  • Ability to think entrepreneurially and innovate in a real-world environment.
  • A PhD. Is preferred, but will consider a M.S. degree in Computer Science, Computational Neuroscience, Physics, Mathematics, Electrical/Computer Engineering, or a related field with appropriate experience.
Gen Nine logo

About Gen Nine

Sourced by ZipRecruiter

Industry

Fitness and sports centers

Company size

11 - 50 Employees

Headquarters location

Covington, KY, US

Year founded

2005

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