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Remote Machine Learning Engineer Jobs in Fairborn, OH

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving ... Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data ...

micro1 AI

AI Trainer - Microbiology Expert

Dayton, OH · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Booz Allen Hamilton

Software Data Engineer

Beavercreek, OH · On-site +1

$106K - $127K/yr

Integrate operational machine learning workflows, including online inference, drift monitoring, and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Fairborn, OH

Remote Machine Learning Engineer information

See Fairborn, OH salary details

$29.8K

$121.6K

$182.8K

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

As of Aug 11, 2026, the average yearly pay for remote machine learning engineer in Fairborn, OH is $121,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $146,400.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Fairborn, OH? The most popular types of Machine Learning Engineer jobs in Fairborn, OH are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Fairborn, OH? For Remote Machine Learning Engineer jobs in Fairborn, OH, the most frequently searched job titles are:
What cities near Fairborn, OH are hiring for Remote Machine Learning Engineer jobs? Cities near Fairborn, OH with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Fairborn, OH as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,640 per year, or $58.5 per hour.

Applied AI Scientist III

CareSource

Dayton, OH • On-site, Remote

Full-time

Re-posted 14 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

200th of 304 rated insurance

Job description

Job Summary:
The Applied AI Scientist III is responsible for the development and application of cutting-edge advanced analytics solutions using emerging Artificial Intelligence (AI) technologies such as Agentic AI, Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Natural Language Processing (NLP) and Generative AI solutions to enhance healthcare operations, patient care, and overall health plan performance and efficiency. This position requires a highly skilled AI expert capable of delivering complex data science projects independently while guiding other data scientists through technical expertise and code reviews.
Essential Functions:
  • Evaluate emerging technology in LLMs, NLP, Generative AI, and healthcare informatics, integrating these advancements into the projects to drive continuous innovation.
  • Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful insights.
  • Lead development from prototype through production in partnership with engineering/architecture.
  • Co-own operational readiness (evaluation, monitoring requirements, documentation, safeguards) and support post-release tuning of Generative AI solutions (such as prompt engineering and RAG).
  • Lead initiatives specializing in NLP and predictive analytics, ensuring the successful delivery of projects that align with organizational goals.
  • Work closely with interdisciplinary teams across IT, risk adjustment, program integrity, HEDIS, healthcare operations, finance, and clinical departments to identify and capitalize on opportunities for data-driven innovative solutions using cutting-edge emerging technologies.
  • Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets.
  • Define and execute evaluation strategies for ML and LLM solutions, including quality metrics, bias and safety checks, and performance monitoring after deployment.
  • Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care.
  • Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations.
  • Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports that effectively communicate insights and support decision-making.
  • Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results.
  • Ensure compliance with data privacy and security regulations, including HIPAA and PHI handling as applicable and maintain the highest standards of data integrity, model governance, and documentation.
  • Lead cross-functional projects with occasional light project management across teams to deliver results.
  • Represent the department in project meetings and other meetings that require subject matter knowledge and input.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required
  • Master's or PhD degree preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required
  • One (1) year of experience in the healthcare industry required
  • One (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflake) required
  • One (1) year of experience in development and deployment of an NLP and Generative AI solution in the healthcare industry required

Competencies, Knowledge and Skills:
  • Familiarity with Agentic AI, LLM architecture, prompt engineering, RAG, and evaluation metrics
  • Familiarity with MLOps and LLMOps practices such as CI/CD, model registry, experiment tracking, automated evaluation, monitoring, and reproducible pipelines
  • Understanding of model risk management, AI governance, and responsible AI
  • Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
  • Expert in data manipulation, data visualization, and SQL for data extraction and analysis
  • Ability to perform advanced statistical analysis and modeling such as linear and non-linear regression, sampling, and Markov chains
  • Expertise in emerging technologies and tools such as large language models, natural language understanding, sentiment analysis, named entity recognition, topic modeling, and text classification
  • Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries
  • Familiarity with web app and API development and deployment in production environment
  • Detailed knowledge of healthcare data, including medical and pharmacy claims, EMR data, HIE data, UM data, and demographic and population data
  • Knowledge of healthcare operations, payer and provider models, and industry trends
  • Proficient in feature engineering techniques and exploratory data analysis
  • Knowledge of optimization techniques and artificial intelligence methods
  • Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights
  • Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously in a fast-paced environment
  • Excellent written and verbal communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
  • Comfortable reading academic research papers and applying them in the models

Licensure and Certification:
  • None

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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