What are the responsibilities and job description for the Sr. Data/ML Engineer position at Halvik?
Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500 professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!
Position Overview
The Senior Data/ML Engineer supports advanced data engineering and predictive machine learning within the Army Vantage environment. The position focuses on high-performance Python-based data processing and the development and implementation of predictive machine learning capabilities.
The position requires familiarity and technical understanding across one or more areas including in Python, Polars, NumPy, and predictive machine learning using Scikit-Learn, LightGBM, XGBoost, and related techniques supported by demonstrated experience completing projects involving 2 or more of these technologies. The emphasis is on understanding how the technologies interact and having sufficient practical experience to successfully implement their integration.
Key Responsibilities
Company-supported medical, dental, vision, life, STD, and LTD insurance
Benefits include 11 federal holidays and PTO
Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
401(k) with company matching
Flexible Spending Accounts for commuter, medical, and dependent care expenses
Tuition Assistance
Charitable Contribution matching
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Position Overview
The Senior Data/ML Engineer supports advanced data engineering and predictive machine learning within the Army Vantage environment. The position focuses on high-performance Python-based data processing and the development and implementation of predictive machine learning capabilities.
The position requires familiarity and technical understanding across one or more areas including in Python, Polars, NumPy, and predictive machine learning using Scikit-Learn, LightGBM, XGBoost, and related techniques supported by demonstrated experience completing projects involving 2 or more of these technologies. The emphasis is on understanding how the technologies interact and having sufficient practical experience to successfully implement their integration.
Key Responsibilities
- Develop high-performance data-processing and analytical workflows using Python.
- Prepare, transform, analyze, and validate data using Polars, NumPy, and related Python technologies.
- Perform feature engineering in support of predictive machine learning.
- Develop, train, evaluate, and refine predictive machine learning models.
- Develop predictive ML capabilities using Scikit-Learn, LightGBM, XGBoost, and related technologies.
- Evaluate model performance and support model optimization and calibration.
- Support monitoring of predictive models and identification of model or data drift.
- Develop production-ready analytical capabilities for use within Army Vantage.
- Integrate data products and predictive models into the Army Vantage environment.
- Collaborate with the Full-Stack/Integration Lead and Foundry Workshop Developers to incorporate analytical capabilities into end-to-end mission solutions.
- Troubleshoot data-processing, analytical, and predictive-model issues.
- Document analytical approaches, data-processing logic, model methodology, and technical implementation.
- Education: BS degree in Computer Science, Information Technology, Engineering, Data Analytics, or another related scientific or technical discipline (or equivalent experience)
- Must possess an active Secret security clearance.
- Years of Experience: 10 years of experience in data engineering including working with and designing dimensional models for analytical and reporting environments.
- Technical Competencies & Tools:
- Demonstrated senior-level Data engineering experience.
- Strong proficiency in Python.
- Hands-on experience with Polars.
- Hands-on experience with NumPy.
- Demonstrated predictive machine learning experience.
- Experience developing predictive ML solutions using Scikit-Learn.
- Experience with LightGBM.
- Experience with XGBoost.
- Experience developing data or analytical capabilities within Palantir Foundry/Army Vantage.
- Experience operationalizing predictive models within enterprise environments.
- Experience supporting large or complex government data environments.
- Previous Army, DoD, or federal mission-system experience.
Company-supported medical, dental, vision, life, STD, and LTD insurance
Benefits include 11 federal holidays and PTO
Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
401(k) with company matching
Flexible Spending Accounts for commuter, medical, and dependent care expenses
Tuition Assistance
Charitable Contribution matching
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.