Senior ML Engineer (Remote) — Production-Grade AI for Finance

FullStack; Harrisburg (Dauphin County); Remote; USD 160,000 - 230,000; Full time

Benefits offered by this job

Competitive Salary

Paid Time Off

100% remote work

Health insurance

401(k) match

Career advancement

Continuing education

Job summary

FullStack is hiring a Senior Machine Learning Engineer (Traditional ML & Financial Data) to join our team. You will work with leading clients via team augmentation or design & build, delivering production-ready ML solutions and robust data pipelines.

The role demands 5+ years in software/Data/ML, strong Python, proficiency with ML libraries, and experience handling financial datasets. This is a 100% remote opportunity with competitive compensation in the United States.

Qualifications

• 5+ years of professional experience in software development, Data Science, or Machine Learning Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong expertise in traditional machine learning algorithms and statistical modeling, with a focus on non-LLM and non-Generative AI approaches.
• Hands-on experience designing, developing, training, and optimizing machine learning models for production use.
• Strong proficiency in data exploration, preprocessing, feature engineering, and model training using complex datasets.
• Demonstrated experience developing and optimizing anomaly detection algorithms to identify irregularities, patterns, and outliers in data.
• Strong Python skills and experience with relevant machine learning and data science libraries.
• Experience analyzing financial, payroll, or other structured business datasets is highly preferred.
• Proactive, ownership-driven mindset with strong analytical and problem-solving skills, capable of translating complex data into reliable machine learning solutions.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.

Responsibilities

• Develop and optimize machine learning models for production use.
• Collaborate with clients and internal teams to design robust ML solutions.
• Contribute to libraries and CI/CD pipelines for reliable deployment.
• Analyze and improve models on large, complex datasets.

Skills

Python

ML engineering

Anomaly detection

Production ML

Data preprocessing

Financial data

Agile/Scrum

SQL

Model training

CI/CD

Education

Bachelor's degree

Tools

Pandas

NumPy

scikit-learn

TensorFlow/PyTorch

Job description

FullStack is hiring a Senior Machine Learning Engineer (Traditional ML & Financial Data) to join our team. You will work with leading clients via team augmentation or design & build, delivering production-ready ML solutions and robust data pipelines.

The role demands 5+ years in software/Data/ML, strong Python, proficiency with ML libraries, and experience handling financial datasets. This is a 100% remote opportunity with competitive compensation in the United States.