Finance ML Engineer: Predictive Modeling & AI

Nimbus Prime Partners; San Francisco (CA); On-site; USD 100,000 - 133,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Tuition reimbursement

Access to online courses and workshops

Job summary

Nimbus Prime Partners seeks a Machine Learning Engineer in San Francisco, CA for full-time employment. You will design, train, and deploy ML models to solve complex financial challenges and forecast market trends.

Work with data scientists, software engineers, and product managers to integrate ML into trading platforms and risk tools. Strong Python skills and ML libraries are required; knowledge of AWS/GCP is a plus.

Qualifications

• Master's degree in Computer Science, Data Science, or a related field.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with data processing and visualization tools like SQL, Pandas, and Matplotlib.

Responsibilities

• Develop, train, and deploy machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Perform extensive data analysis and feature engineering to improve model performance.
• Stay up-to-date with advancements in ML and apply them to your work.
• Document work and share findings with the team.
• Participate in code reviews and provide constructive feedback.

Skills

Python

Strong communication

Team collaboration

Data analysis

Education

Master's degree in Computer Science / Data Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Pandas

Matplotlib

AWS/GCP

Job description

Nimbus Prime Partners seeks a Machine Learning Engineer in San Francisco, CA for full-time employment. You will design, train, and deploy ML models to solve complex financial challenges and forecast market trends.

Work with data scientists, software engineers, and product managers to integrate ML into trading platforms and risk tools. Strong Python skills and ML libraries are required; knowledge of AWS/GCP is a plus.