Applied AI/ML - Senior Associate jobs in United States
cer-icon
Apply on Employer Site
company-logo

hackajob · 11 hours ago

Applied AI/ML - Senior Associate

Hackajob is collaborating with J.P. Morgan to connect exceptional tech professionals for the role of Sr. Associate Applied AI/ML Scientist. In this role, you will utilize AI and machine learning technologies to enhance payment solutions, develop high-quality models, and collaborate with cross-functional teams to drive business growth.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

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 machine learning and 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

Qualification

Machine LearningPythonAWS Cloud ServicesNatural Language ProcessingData ProcessingDeep LearningShell ScriptingSQLJupyter NotebookExploratory Data AnalysisCommunication Skills

Required

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
2+ years of hands‑on experience with large‑scale data processing on AWS EMR, building robust batched feature stores (offline/online pipelines, schema governance, backfills, reproducibility), and orchestrating SageMaker training, pipelines, and model registry for production ML
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
1+ years of extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM), AgenticAI, and 3+ years of extensive experience in other machine learning techniques, including classification, regression algorithms
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
Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies
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

Preferred

Experience in the financial services industry, particularly within investment banking operations
Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes
Trust & Safety (T&S) fraud experience in payments, designing and deploying ML models for account takeover, transaction fraud, promotion abuse

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

hackajob

twittertwittertwitter
company-logo
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.

Funding

Current Stage
Growth Stage
Total Funding
$33M
Key Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M

Leadership Team

leader-logo
Mark Chaffey
CEO
linkedin
leader-logo
Phil Kell
VP - Marketplace
linkedin
Company data provided by crunchbase