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Temporary Machine Learning Finance Jobs (NOW HIRING)

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

... world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers ... We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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How much do temporary machine learning finance jobs pay per year?

As of Sep 12, 2026, the average yearly pay for temporary machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

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Machine Learning Engineer

Allen Park, MI • On-site

Stefanini
IT Services • 10K+ employees
Learn more about Stefaniniexternal

Other

Re-posted 26 days ago

Key responsibilities

  • Analyze datasets and understand business requirements to determine suitable approaches for data-driven decision-making.

  • Design and implement data analysis and machine learning models, hypotheses, algorithms, and experiments.

  • Apply analytics techniques such as data mining, predictive modeling, and advanced analytics to uncover patterns, relationships, and trends.

Job description


Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer(Allen Park, MI)
For quick apply, please reach out to Navneet Pathak at /
We are looking for a candidate who is responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
Key ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Skills Required:J2EE, Logistics, Python, Machine Learning
Skills Preferred:AIPGEE, Advance data Migration, API, Data Management
Experience Required:5+ years of experience in relevant fieldFully Functional Middleware API: A production-ready middleware layer that ingests, aggregates, and exposes the 6 core operational data points. Agentic AI Orchestrator: A deployed multi-agent system that autonomously monitors the middleware data, flags anomalies, and generates structured recommendation JSON payloads. Human-in-the-Loop (HITL) Dashboard Integration: APIs and webhooks that feed the AI's reasoning, recommendations, and confidence scores into our front-end application. Co-Developed Codebase: A clean, modular, and fully tested Git repository co-authored with our internal team. Coaching Playbook: A comprehensive training package and transfer-of-ownership document for our internal engineering and product teams
Experience PreferredAutomotive Supply Chain - Logistics
Education RequiredBachelor's Degree
Education PreferredCertification Program
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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