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Ai Ml Analyst Jobs (NOW HIRING)

JP Morgan Chase

Applied AI ML - Analyst

Jersey City, NJ · On-site

As an Applied AI/ML Analyst within our dynamic team of innovators and technologists, you will revolutionize how the Bank services and advises clients, deepen client engagements, and promote process ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Job Title AI/ML Development Analyst Job Summary Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

The role involves enhancing dashboard analytics, automation, and data-driven insights in support of Government decision-making. Responsibilities : • Designs and leads the implementation of AI/ML ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

Responsibilities : • Designs and leads the implementation of AI/ML models and analytic techniques to enhance dashboard reporting, trend analysis, and predictive insights across O&E and IT, Cyberse ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

Responsibilities : • Designs and leads the implementation of AI/ML models and analytic techniques to enhance dashboard reporting, trend analysis, and predictive insights across O&E and IT, Cyberse ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

AI/ML Architect with Databricks, Azure Location: Los Angeles CA or New York NY (Hybrid) Hire type ... This role requires working with large, multi-terabyte datasets, advanced analytics, and ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

$104K - $145K/yr

Designs and leads the implementation of AI/ML models and analytic techniques to enhance dashboard reporting, trend analysis, and predictive insights across O&E and IT, Cybersecurity, and Data ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

$104K - $145K/yr

Responsibilities: • Designs and leads the implementation of AI/ML models and analytic techniques to enhance dashboard reporting, trend analysis, and predictive insights across O&E and IT, Cyberse ...

INFT Solutions Inc

AI/ML Lead

Charlotte, NC

Define AI/ML strategy and roadmap, including predictive analytics, NLP, and Generative AI use cases. * Architect end-to-end AI pipelines including data ingestion, feature engineering, model training ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL

Torch Technologies is seeking a highly analytical and mathematically minded Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our AI/ML team. The candidate will support the Missile ...

Closure Technologies

AI/ML Engineer

Mclean, VA · On-site

Required : • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research ...

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How much do ai ml analyst jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for ai ml analyst in the United States is $35.97, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $42.07 per hour, depending on experience, location, and employer.

What is the difference between Ai Ml Analyst vs Data Scientist?

AspectAi Ml AnalystData Scientist
Required CredentialsBachelor's in CS, Data Science, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related; advanced certifications often preferred
Work EnvironmentData analysis, model deployment, collaboration with engineering teamsData exploration, model building, statistical analysis, storytelling with data
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, research institutions

While both roles involve working with data and machine learning, Ai Ml Analysts focus more on applying models to solve specific problems and deploying solutions, whereas Data Scientists often engage in deeper data exploration, developing new models, and deriving insights. The roles overlap but differ in scope and depth of analysis.

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Ai Ml Analyst jobs near you
Infographic showing various Ai Ml Analyst job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $74,823 per year, or $36 per hour.

Applied AI ML - Analyst

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

72nd of 170 rated banks

Job description

As an Applied AI/ML Analyst within our dynamic team of innovators and technologists, you will revolutionize how the Bank services and advises clients, deepen client engagements, and promote process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment-one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
Job Responsibilities

  • Build and maintain end-to-end batch and streaming data pipelines (ingestion transformation curation serving) on AWS. 
  • Develop scalable transformations using Spark (PySpark/Scala) and SQL, optimizing for performance, reliability, and cost. Implement and optimize Snowflake solutions (schemas, tables, views, micro-partitioning/clustering considerations, warehouse sizing, query tuning, data sharing patterns where applicable).
  • Understanding of data models for enterprise analytics (dimensional/star schemas, normalized models; applying standard banking data concepts where relevant). Create robust orchestration and scheduling (e.g., Airflow/MWAA, AWS Step Functions, etc.) with monitoring, alerting, retries, and operational runbooks.
  • Ensure data quality through validation checks, reconciliation, and controls (e.g., completeness, timeliness, accuracy, deduplication). Implement security and governance controls suitable for banking: encryption, least-privilege access, auditability, data retention, and lineage/documentation.
  • Collaborate with stakeholders across technology, risk, compliance, analytics, and product to translate requirements into reusable, well-defined datasets and support production operations: incident triage, root-cause analysis, performance tuning, and continuous improvement of pipeline stability.
  • Collaborate with data science and ML teams to design, build, and maintain scalable data infrastructure that supports the training, deployment, and monitoring of AI/ML models. Continuously evaluate and adopt emerging AI technologies to optimize ETL workflows, reduce manual effort, and enhance overall engineering productivity.
     

Required qualifications, capabilities, and skills

  • Bachelors degree in a quantitative or technical discipline or significant practical experience in industry.
  • Strong SQL skills (complex joins, window functions, query optimization, performance troubleshooting) and experience with AWS data services and cloud-native patterns (e.g., S3, IAM, KMS, Glue, Lambda, EMR, Step Functions, Kinesis/MSK-relevant mix).
  • Solid understanding of data modeling and how model choices impact performance, usability, and governance.
  • Practical experience with Snowflake (data loading, transformations, optimization, access controls). Proficiency in Python (or equivalent) for pipeline development, automation, and testing.
  • Experience with Git and CI/CD practices; familiarity with engineering standards for code reviews and automated testing.

Preferred qualifications, capabilities, and skills

  • Prior experience of developing solutions for Financial domain
  • Exposure to distributed model training, and deployment
  • Familiarity with techniques for model explainability and self-validation
  • Hands-on development experience with Spark (PySpark preferred) for large-scale processing.
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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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