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Machine Learning Engineer Associate Jobs in Columbus, OH

Actalent

Computer Vision Engineer

Marysville, OH

$102.40K - $120.80K/yr

Support and implement analytical processes such as machine learning and advanced data analysis from ... Bachelor's degree in engineering or an engineering-related field such as electrical engineering ...

Pwc

Data Engineer - Senior Associate

Columbus, OH · On-site

$77K - $202K/yr

Focused on relationships, you are building meaningful client connections, and learning how to ... Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... For incentive eligible associates, the successful candidate is eligible for an annual incentive ...

Monitise

AI Engineer

Columbus, OH

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... For incentive eligible associates, the successful candidate is eligible for an annual incentive ...

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Machine Learning Engineer Associate information

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$40.1K

$79.8K

$127.5K

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

As of May 29, 2026, the average yearly pay for machine learning engineer associate in Columbus, OH is $79,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $91,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are the most commonly searched types of Machine Learning Engineer jobs in Columbus, OH? The most popular types of Machine Learning Engineer jobs in Columbus, OH are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Columbus, OH? For Machine Learning Engineer Associate jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Columbus, OH look for? The top searched job categories for Machine Learning Engineer Associate jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Machine Learning Engineer Associate jobs? Cities near Columbus, OH with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Lead Software Engineer - Senior Python Developer

Lead Software Engineer - Senior Python Developer

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 9 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Cybersecurity Technology and Controls team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
We are seeking a highly skilled Lead Software Engineer with expertise in deploying, monitoring, and managing machine learning models in production environments. This role involves working with cutting-edge technologies to ensure scalable, reliable, and efficient AI solutions. The ideal candidate will be adept at building robust infrastructure and processes to support the seamless operation of machine learning models. In this role, you will be responsible for automating model deployment, optimizing infrastructure, and ensuring the continuous performance of AI systems. Your ability to collaborate with cross-functional teams and address operational challenges will be crucial to driving innovation and delivering impactful AI solutions.
Job responsibilities
  • Collaborate with cross-functional teams, including data scientists and software engineers, to understand model requirements and integrate them into applications.
  • Develop and implement strategies for deploying machine learning models into production, ensuring scalability, reliability, and efficiency.
  • Design and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the testing, deployment, and updating of machine learning models.
  • Manage and optimize the infrastructure required for running machine learning models, including cloud services, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
  • Implement monitoring and logging solutions to track model performance, detect anomalies, and ensure models are operating as expected in production.
  • Maintain version control for models and data, ensuring traceability and compliance with governance policies and ensure that deployed models adhere to security best practices and comply with relevant regulations and standards.
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills
  • Obtain 6+ years of applied experience and/or certification in cybersecurity/engineering concepts, Bachelor's degree in Computer Science, Engineering, or a related field, with relevant experience in ML Ops or related roles.
  • Advanced Python Programming Skills including Pandas, Numpy and Scikit- Learn
  • Proficiency in building and maintaining CI/CD pipelines for machine learning workflows.
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Expertise in cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
  • Excellent problem-solving skills and attention to detail and Strong communication skills to collaborate effectively with cross-functional teams.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills
  • Proven experience in deploying and managing large-scale machine learning models in production environments.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to monitor ML models in production, addressing model performance and data quality issues effectively.
  • Working knowledge of security best practices and compliance standards for Machine Learning systems.
  • Experience with infrastructure optimization techniques to enhance performance and efficiency.
  • Development of REST APIs using frameworks such as Flask or FastAPI for seamless integration into business solutions.
  • Familiarity with creating and utilizing synthetic datasets to improve model training and evaluation.

#CTC
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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