Senior Machine Learning Engineer

Apex Systems; Plano (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Everforth Apex Systems is seeking a Senior Machine Learning Engineer to independently deliver complex ML models from data exploration to production deployment. You will work with large datasets, build data pipelines, and collaborate with engineering teams to integrate models into scalable workflows.

The ideal candidate has 5–10 years of hands-on ML experience, strong Python skills, and expertise in feature engineering, model training, evaluation, and production deployment within a hybrid

Qualifications

• Master’s or PhD in a quantitative/technical field is required.
• 5–10 years of hands-on data science or ML engineering experience delivering models/pipelines.
• Strong Python development with libraries like pandas, NumPy, scikit-learn, or XGBoost.

Responsibilities

• Design, train, validate, and tune supervised ML classification models.
• Perform data exploration, cleansing, transformation, and feature engineering.
• Develop Python-based workflows and pipelines for data prep, training, evaluation, and scoring.
• Evaluate model performance and iterate on quality, FP/FN analysis, and improvements.
• Package and deploy ML models into production or near-production with engineering teams.
• Troubleshoot data quality, pipelines, model performance, and integration issues.
• Create technical docs covering data assumptions, features, and model design.

Skills

Python

Pandas

NumPy

Scikit-learn

XGBoost

Data pipelines

Feature engineering

Production deployment

Model evaluation

Documentation

Generative AI tools

Education

Master’s or PhD in quantitative field

Tools

Spark

Databricks

AWS

Azure

SQL

Job description

Job#: 3051360

Job Description:

Senior Machine Learning Engineer

Location: Plano, Texas (Hybrid)

Employment Type: Contract

Contract Duration: 11 Months

Role Overview

We are seeking a senior-level Machine Learning Engineer or Data Scientist to independently deliver complex classification models, from data exploration through to production implementation. The ideal candidate will have hands-on experience with Python, feature engineering, model training, and deployment of machine learning solutions. This person should be comfortable working with large datasets, building data pipelines, and partnering with engineering teams to integrate models into scalable production workflows.

Key Responsibilities

• Design, build, train, validate, and tune supervised machine learning classification models using structured, behavioral, and transactional data.
• Perform hands-on data exploration, cleansing, transformation, and feature engineering to create reliable inputs for model development.
• Develop repeatable Python-based workflows, scripts, and pipelines for dataset preparation, model training, evaluation, and scoring.
• Evaluate model performance using appropriate classification metrics, analyze false positives and false negatives, and iterate on model quality.
• Package and deploy machine learning models into scalable production or near-production environments in partnership with engineering teams.
• Troubleshoot data quality, pipeline, model performance, and integration issues across all phases of development and deployment.
• Create clear technical documentation covering data assumptions, feature logic, model design, validation results, and implementation details.
• Collaborate with engineers, analysts, and stakeholders to ensure delivered models are technically sound, maintainable, and aligned to measurable outcomes.

Required Qualifications

• Education: A Master’s or PhD in a quantitative or technical field such as computer science, statistics, mathematics, engineering, or data science is required.
• Experience: 5–10 years of hands-on data science or machine learning engineering experience delivering models, pipelines, or analytics solutions is required.
• Technical Skills:
  • Strong Python development experience, including libraries such as pandas, NumPy, scikit-learn, or XGBoost.
  • Deep understanding of supervised machine learning classification approaches and model performance evaluation.
  • Experience with large structured datasets, data cleansing, transformation, and building data preparation workflows.
  • Experience packaging, versioning, testing, and integrating machine learning models into production application workflows.
  • Strong technical communication and documentation skills.
  • Experience using generative AI tools and applying prompt engineering techniques.

Preferred Qualifications

• Experience developing classification models for fraud, risk, cybersecurity, or other high-volume decisioning use cases.
• Familiarity with MLOps practices, including model packaging, version control, CI/CD pipelines, and model monitoring.
• Experience designing or supporting real-time or near-real-time machine learning models.
• Experience with distributed data processing or cloud platforms such as Spark, Databricks, AWS, or Azure.
• Working knowledge of SQL for data extraction and validation.
• Experience creating dashboards or visualizations to communicate model performance.
• Understanding of explainable AI, model governance, and responsible AI practices.
• Prior experience working in Agile delivery environments.

About the Employer

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Benefits Overview

• Medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection.
• An ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure.
• An HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
• An on-demand training program, access to certification prep and a library of technical and leadership courses/books/seminars after you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
• A dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach.
• A full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well.

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.

UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.

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Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.

NYSE: EFOR

4400 Cox Road

Suite 200

Glen Allen, Virginia 23060

Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.