Sr. Machine Learning Engineer - W2
Sr. Machine Learning Engineer - W2
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5years
60 - 60
1 Vacancy
Job Description
As a Sr. Machine Learning Engineer you will support the U.S. Army Command by creating cybersecurity solutions using cloud-based architectures particularly AWS. You will collaborate directly with stakeholders and Army security teams to develop deployable solutions using government-available technologies. Your responsibilities include liaising with software vendors integrating point solutions into comprehensive capabilities for Army Defense Cyber Operations (DCO) and delivering mission-critical software to protect military cybersecurity infrastructure.
Key Responsibilities
Stakeholder Collaboration (30%)
Work directly with Army stakeholders to understand cybersecurity requirements and design solutions.
ML Solution Development (25%)
Develop machine learning models using frameworks like TensorFlow PyTorch or Keras.
Cloud Deployment (20%)
Deploy ML solutions on cloud platforms such as AWS.
Integration & Coordination (15%)
Liaise with software vendors and integrate point solutions into broader cyber capabilities.
Compliance & Documentation (10%)
Ensure technical solutions are compliant with security requirements and well-documented.
Requirements
Bachelors degree in Computer Science Mathematics Statistics or a related field
Master s Degree in Data Science Machine Learning or a related field
Proven experience in a machine learning or AI engineering role
Strong proficiency in Python C or Java
Experience with ML frameworks such as TensorFlow PyTorch or Keras
Familiarity with cloud platforms (AWS Google Cloud Azure)
Experience with data preprocessing feature engineering and model selection
Knowledge of data structures algorithms and software architecture
Excellent problem-solving abilities and attention to detail
Strong communication skills for non-technical stakeholder engagement
Commitment to clean efficient and well-tested code
Self-motivated with the ability to work both independently and in teams
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field Master s Degree in Data Science, Machine Learning, or a related field Proven experience in a machine learning or AI engineering role Strong proficiency in Python, C++, or Java Experience with ML frameworks such as TensorFlow, PyTorch, or Keras Familiarity with cloud platforms (AWS, Google Cloud, Azure) Experience with data preprocessing, feature engineering, and model selection Knowledge of data structures, algorithms, and software architecture Excellent problem-solving abilities and attention to detail Strong communication skills for non-technical stakeholder engagement Commitment to clean, efficient, and well-tested code Self-motivated, with the ability to work both independently and in teams
Employment Type
Full Time
