Machine Learning Engineer Virginia with Security Clearance - Chantilly, VA, United States - 2HB Incorporated

Description

2HB is looking for a Machine Learning Engineer
This position is a full-time position, in Chantilly, Virginia and MUST HAVE a TS/SCI/Full Scope Polygraph Clearance
The Candidate shall provide support for the US government (USG) 's machine learning model development and deployment efforts specific to its cyber mission and targets
Additionally, the Candidate will need to have extensive experience with developing and implementing machine learning methodologies to triage large commercial cyber datasets
WORK REQUIREMENTS The Candidate shall provide support to include the following tasks:

• The Candidate shall implement machine learning methodologies to triage large commercial cyber datasets
• The Candidate shall identify topical, spatial, and time-based trends of interest within large amounts of commercial cyber data
• The Candidate shall work with data science models testing, optimization, validation, and tests automation
• The Candidate shall be able to integrate machine learning models into software through inference engines, machine learning pipelines, and other approaches
• The Candidate shall communicate and work effectively with cross-functional team members including but not limited to program managers, data analysts, data scientists, external stakeholders, management, and software solutions integrators

REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE The Candidate shall have the following required skills, certifications and demonstrated experience:

• Demonstrated experience developing and deploying machine learning models
• Demonstrated experience tuning hyper-parameters of existing machine learning models for domain-specific data sets
• Demonstrated experience implementing, evaluating, and extending state-of-the-art, data science methods, data labeling, ETL, and other data standardization practices
• Demonstrated experience integrating user-orientated model evaluation
• Demonstrated experience working with data science models testing, optimization, validation, and tests automation
• Demonstrated experience leveraging model management capabilities to track version control and maintain information about best-performing models, such as MLFLOW or similar
• Demonstrated experience programming in Python
• Demonstrated experience programming in other scripting languages, such as Bash
• Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit
• Demonstrated experience using Linux and Windows operating systems
• Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machinelearning, and deep learning
• Demonstrated experience with implementing data science workflows in cloud-based platforms (e.g., AWS, Azure, etc.)
• Demonstrated experience deploying ML models and creating associated APIs
• Demonstrated experience with spark; creating spark clusters in cloud infrastructure and utilizing spark for machine learning
• Demonstrated experience creating front end interfaces to interact with machine learning models

HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE Skills and demonstrated experiences that are highly desired but not required to perform the work include:

• Demonstrated past experience/knowledge in cyber security concepts and with Sponsor's cyber mission
• Demonstrated experience developing and deploying machine learning models

based on cybersecurity related workflows

• Demonstrated experience working in Sponsor's mission environment
• Demonstrated experience developing and working with cyber data (e.g

netflow, pcap, credential, ip scans, etc.)
MUST HAVE a TS/SCI/Full Scope Polygraph Clearance