Remote opportunity at
MakparML Engineer
Makpar is a professional and technical solutions provider delivering services to the Federal government through cloud engineering, data management, cybersecurity, and emerging technologies. The company is…
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About This Role
Makpar is a professional and technical solutions provider delivering services to the Federal government through cloud engineering, data management, cybersecurity, and emerging technologies. The company is seeking an ML Engineer to join its team on a full-time, remote basis to build and optimize data-driven solutions and machine learning models. This role involves working alongside data engineers, developers, and stakeholders to handle data preparation, model training, evaluation, deployment, and ongoing performance…
Job Description
Makpar is a professional and technical solutions provider delivering services to the Federal government through cloud engineering, data management, cybersecurity, and emerging technologies. The company is seeking an ML Engineer to join its team on a full-time, remote basis to build and optimize data-driven solutions and machine learning models. This role involves working alongside data engineers, developers, and stakeholders to handle data preparation, model training, evaluation, deployment, and ongoing performance monitoring.
The person in this position will tackle technical challenges utilizing Appian and supporting platforms, design business logic and process models within BPM-based systems, and provide technical leadership for Agile development teams. Responsibilities include building scalable machine learning capabilities, managing feature engineering across diverse datasets, setting up CI/CD workflows, and ensuring proper documentation for model architecture and deployment processes.
Responsibilities
- Design and develop business logic, process models, and user interfaces within BPM systems while solving complex technical problems using Appian
- Provide technical leadership to Agile development teams and mentor junior developers through peer code reviews
- Develop, train, test, and optimize machine learning models for predictive analytics, classification, and data-driven decision making
- Support data ingestion, preprocessing, normalization, validation, and feature engineering across multiple data sources
- Integrate machine learning models with data pipelines, APIs, and application services
- Maintain source control and build CI/CD deployment pipelines using Git, GitHub, and GitHub Actions
- Monitor model performance, identify data quality issues, and execute validation procedures
- Document model architecture, experimental results, and technical decisions for knowledge transfer
Requirements
- Experience developing, training, evaluating, and optimizing machine learning models using Python and libraries such as scikit-learn, pandas, and NumPy
- Hands-on experience utilizing Databricks for data processing, model development, experimentation, and workflows
- Familiarity with data preprocessing, feature engineering, and working with structured and semi-structured datasets
- Understanding of ML model deployment, REST APIs, and integration with data pipelines or application services
- Experience managing source code with Git and GitHub, along with creating CI/CD workflows using GitHub Actions
- U.S. Citizenship or Legal Permanent Resident status for at least three years, plus Federal Tax compliance
Qualifications
- Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field, or an equivalent combination of education and experience
- Relevant certifications or specialized training in machine learning, Databricks, cloud technologies, or MLOps
- Background in government contracting, regulated industries, or large enterprises
- Familiarity with identity and access management, data platforms, or enterprise SaaS ecosystems
- Experience working with Jira and Confluence
Core Skills
Benefits
- Compensation package
- Flexible work schedules
- Training and career development opportunities
- Benefits package designed to balance work and life
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this a remote position?
Yes, the source posting explicitly states that the location is remote.
What is the employment type?
The role is full-time.
What are the citizenship or residency requirements?
Candidates must be a U.S. Citizen or a Legal Permanent Resident with Green Card status for three years, and be Federal Tax compliant.
What salary is offered for this role?
The source posting does not specify the salary for this position.
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