Saic
AI ML Developer
Saic, Herndon, Virginia, United States, 22070
DescriptionSAIC’s National Intelligence Community (NIC) Business Unit, USG Mission, and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.We are seeking multiple
AI/ML Developers
to join our National Intelligence Program providing analytic and software capabilities to include data visualization tools, language translation, data ingestions, extraction, and modeling. These roles require a deep understanding of machine learning techniques, algorithms, and statistical methods.These positions can be in
Herndon, VA, McLean, VA or Chantilly, VA
and require an
active TS/SCI clearance with Polygraph.Responsibilities will include, but are not limited to, the following:Design, develop, and maintain AI/ML-driven solutions for various applications in data visualization, language translation, and data processing.Implement and optimize data ingestion pipelines to handle a large volume of data from diverse sources.Develop and maintain robust data extraction algorithms to obtain actionable insights from large datasets.Construct and refine machine learning models to analyze complex datasets and solve various classification, regression, clustering, and forecasting problems.Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to integrate AI/ML capabilities into existing and new products.Research and apply the latest AI/ML technologies and best practices to keep the company at the forefront of the industry.Visualize data and results effectively for both technical and non-technical audiences, ensuring insights are accessible and actionable.Document AI/ML development processes, including model design, data processing, coding, and tuning to ensure reproducibility and compliance with standards.Assist in the translation of business requirements into technical requirements, focusing on AI/ML solutions.QualificationsRequirements:Active TS/SCI with Poly is required.Bachelor's degree and 5-14 years of related experience.Will consider additional 4 years’ experience with a HS diploma in lieu of a Bachelor's degree.Proven experience in AI/ML development that demonstrates skills in data visualization, language translation, and data modeling.Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NLTK).Expertise in programming languages such as Python, R, or Java.Experience with database management and SQL.Strong knowledge of data structures, algorithms, and statistics.Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with services related to AI/ML.Knowledge of data pipeline and workflow management tools (e.g., Apache Airflow).Excellent problem-solving, analytical, and communication skills.Desired Skills:Experience with full-stack development and understanding of software development lifecycle (SDLC).Proficiency in data visualization tools (e.g., Tableau, Power BI, D3.js).Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Multilingual capabilities or experience with NLP (Natural Language Processing).
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AI/ML Developers
to join our National Intelligence Program providing analytic and software capabilities to include data visualization tools, language translation, data ingestions, extraction, and modeling. These roles require a deep understanding of machine learning techniques, algorithms, and statistical methods.These positions can be in
Herndon, VA, McLean, VA or Chantilly, VA
and require an
active TS/SCI clearance with Polygraph.Responsibilities will include, but are not limited to, the following:Design, develop, and maintain AI/ML-driven solutions for various applications in data visualization, language translation, and data processing.Implement and optimize data ingestion pipelines to handle a large volume of data from diverse sources.Develop and maintain robust data extraction algorithms to obtain actionable insights from large datasets.Construct and refine machine learning models to analyze complex datasets and solve various classification, regression, clustering, and forecasting problems.Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to integrate AI/ML capabilities into existing and new products.Research and apply the latest AI/ML technologies and best practices to keep the company at the forefront of the industry.Visualize data and results effectively for both technical and non-technical audiences, ensuring insights are accessible and actionable.Document AI/ML development processes, including model design, data processing, coding, and tuning to ensure reproducibility and compliance with standards.Assist in the translation of business requirements into technical requirements, focusing on AI/ML solutions.QualificationsRequirements:Active TS/SCI with Poly is required.Bachelor's degree and 5-14 years of related experience.Will consider additional 4 years’ experience with a HS diploma in lieu of a Bachelor's degree.Proven experience in AI/ML development that demonstrates skills in data visualization, language translation, and data modeling.Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NLTK).Expertise in programming languages such as Python, R, or Java.Experience with database management and SQL.Strong knowledge of data structures, algorithms, and statistics.Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with services related to AI/ML.Knowledge of data pipeline and workflow management tools (e.g., Apache Airflow).Excellent problem-solving, analytical, and communication skills.Desired Skills:Experience with full-stack development and understanding of software development lifecycle (SDLC).Proficiency in data visualization tools (e.g., Tableau, Power BI, D3.js).Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Multilingual capabilities or experience with NLP (Natural Language Processing).
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