Strategic ASI
Data Scientist/Machine Learning
Strategic ASI, Chantilly, Virginia, United States, 22021
Our client is seeking a Cybersecurity Machine Learning Engineer by developing and deploying machine learning models tailored to its cyber mission and objectives. This role requires extensive expertise in crafting and implementing machine learning methodologies to effectively analyze and prioritize vast commercial cyber datasets.
Required Skills and Demonstrated Experience:
Proven track record in collecting and analyzing data from mobile applications, coupled with hands-on experience in developing and deploying machine learning models.Skilled in fine-tuning hyper-parameters of existing machine learning models to optimize performance for specific data domains.Demonstrated proficiency in implementing, evaluating, and extending cutting-edge data science methodologies, including data labeling, ETL processes, and data standardization practices.Experience in integrating user-centric model evaluation techniques into development processes.Proficiency in testing, optimizing, validating, and automating tests for data science models.Familiarity with model management tools like MLFLOW for version control and performance tracking.Strong programming skills in Python and familiarity with other scripting languages such as Bash.Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn.Proficiency in both Linux and Windows operating systems.Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks.Experience in implementing data science workflows on cloud-based platforms such as AWS and Azure.Demonstrated ability to deploy machine learning models and create associated APIs.Experience with Apache Spark, including creating clusters in cloud infrastructure and utilizing Spark for machine learning tasks.Proficiency in developing front-end interfaces to interact with machine learning models.Highly Desired Skills and Demonstrated Experience:Previous experience or knowledge in cybersecurity concepts and familiarity with the Sponsor's cyber mission.Experience in developing and deploying machine learning models tailored to cybersecurity workflows.Experience working in the Sponsor's mission environment.Experience in developing and working with cyber data types such as netflow, pcap, credentials, and IP scans.
Required Skills and Demonstrated Experience:
Proven track record in collecting and analyzing data from mobile applications, coupled with hands-on experience in developing and deploying machine learning models.Skilled in fine-tuning hyper-parameters of existing machine learning models to optimize performance for specific data domains.Demonstrated proficiency in implementing, evaluating, and extending cutting-edge data science methodologies, including data labeling, ETL processes, and data standardization practices.Experience in integrating user-centric model evaluation techniques into development processes.Proficiency in testing, optimizing, validating, and automating tests for data science models.Familiarity with model management tools like MLFLOW for version control and performance tracking.Strong programming skills in Python and familiarity with other scripting languages such as Bash.Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn.Proficiency in both Linux and Windows operating systems.Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks.Experience in implementing data science workflows on cloud-based platforms such as AWS and Azure.Demonstrated ability to deploy machine learning models and create associated APIs.Experience with Apache Spark, including creating clusters in cloud infrastructure and utilizing Spark for machine learning tasks.Proficiency in developing front-end interfaces to interact with machine learning models.Highly Desired Skills and Demonstrated Experience:Previous experience or knowledge in cybersecurity concepts and familiarity with the Sponsor's cyber mission.Experience in developing and deploying machine learning models tailored to cybersecurity workflows.Experience working in the Sponsor's mission environment.Experience in developing and working with cyber data types such as netflow, pcap, credentials, and IP scans.