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Associate Machine Learning Chemistry Jobs in Kentucky

JPMorgan Chase & Co.

$43K - $43K/yr

As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be ... Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and ...

NCSL International

Scientific Applications & Research Associates, Inc. (SARA) is a world‑class Defense Research and Development enterprise with more than 35 years of proven innovation. We create new and emerging ...

Prellis Biologics, Inc.

Senior Research Associate-Associate Scientist-Hight Throughput Antibody Discovery Contract High ... machine learning, biology at scale, and next-gen antibody discovery that address long-standing ...

Koitecc Solutions

$50K - $75K/yr

Job Title Postdoctoral Associate Division Divison of Academic Affairs Department National ... Experience in developing machine learning models using Pytorch, TensorFlow, and/or other relevant ...

Medical University of South Carolina

$70K - $88K/yr

Summary The Research Specialist III will support artificial intelligence (AI) and machine learning ... A bachelor's degree in chemistry, biology, or other natural, life or health care science directly ...

Corteva, Inc.

Innovate at the interface of data science, chemistry, and biology to drive discovery of novel ... Demonstrated experience with modern machine learning and deep learning methods, including ...

Capital One Group

$43K - $43K/yr

Principal Associate, Data Scientist - Business Cards & Payments Data is at the center of everything ... Build machine learning models through all phases of development, from design through training ...

DigiFlight, Inc.

Associate's degree with 5 years of relevant experience. Bachelor'sDegree must be in Mathematics ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Capital One Group

$43K - $43K/yr

## Principal Associate, Data Scientist - Bank Customer Protection Debit & ClaimsApplylocations: McLean ... Build machine learning models through all phases of development, from design through training ...

Capital One National Association

Principal Associate - Quantitative Analyst At Capital One data is at the center of everything we do ... Identify opportunities to apply quantitative methods or machine learning to improve business ...

Absci Corp.

PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field * 3+ years of research experience at the ...

Capital One Group

$43K - $43K/yr

The Principal Associate of Ontology and Data Modeling, as part of Finance Products and Data ... Partner with Technology, Machine Learning, and other Capital One teams to support the development ...

Peraton

$41 - $55/hr

Relevant cloud or AI/ML certification, such as AWS Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer, OCI AI Foundations Associate, or an ...

University of Miami

... Associate I position. The successful candidate will participate in research projects that use data ... The first primary focus will be to develop machine learning methods to accurately estimate surface ...

Capital One National Association

Senior Associate, Quantitative Analyst - Model Risk Office At Capital One data is at the center of ... Machine learning * Analysis and management of large datasets (>1M records) Preferred Qualifications ...

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All JobsAssociate Machine Learning Chemistry JobsAssociate Machine Learning Chemistry Jobs in Kentucky

Associate Machine Learning Chemistry information

What is an associate machine learning chemistry?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an associate machine learning chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an associate machine learning chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What are popular job titles related to Associate Machine Learning Chemistry jobs in Kentucky?

For Associate Machine Learning Chemistry jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Chemistry jobs in Kentucky look for?

The top searched job categories for Associate Machine Learning Chemistry jobs in Kentucky are:

What cities in Kentucky are hiring for Associate Machine Learning Chemistry jobs?

Cities in Kentucky with the most Associate Machine Learning Chemistry job openings:

Associate Machine Learning Chemistry jobs near you
Infographic showing various Associate Machine Learning Chemistry job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 18% Part Time, 7% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Applied AI/ML Senior Associate

On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$43K - $43K/yr

Other

Posted 12 days ago

Key responsibilities

  • Research, experiment, develop, and implement machine learning models, services, and platforms to improve payment processes, fraud detection, and customer experience.

  • Design and execute scalable and reliable data processing pipelines, conduct analysis, and derive insights to optimize business outcomes.

  • Collaborate with cross-functional teams to identify opportunities for AI/ML applications within the payments ecosystem.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.

As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment’s ecosystem will also be a part of your responsibilities.

Job Responsibilities:
  • Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments’ domain.
  • Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
  • Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
  • Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
Required qualifications, capabilities, and skills:
  • Master’s degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
  • Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
  • Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.
  • Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.
  • Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
  • Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
Preferred Qualifications, capabilities and skills
  • Experience in the financial services industry, particularly within investment banking operations.
  • Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
  • Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc.
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