Yesterday
Top Secret/SCI
Mid Level Career (5+ yrs experience)
$150,000 and above
No Traveling
IT - Data Science
Remote/Hybrid•Falls Church, VA (On/Off-Site)
JOB RESPONSIBILITIES:
Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases;
Collaborate with cross-functional teams, including data scientists and software engineers to integrate AI solutions developed by other elements of CDAO or the DoD community into Search Portfolio products when appropriate
Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks. Ability to adapt code base to also run using GPU enabled Kubernetes clusters.
Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products
Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization
Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance
Documents and presents requirements, design alternatives, and findings to team members and clients;
Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships; and
Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.
Maintains and guides the development of common libraries and tools used by multiple teams.
Aids in formulating a strategy on how to achieve rapid prototyping
MINIMUM REQUIRED EXPERIENCE:
Experience in machine learning, including NLP, computer vision, and statistical learning theory
-7-10 years with BA/BS
-5 years with MA/MS
Hands-on experience with NLP, LLMs, text embedding, semantic search, generative AI for text, and RAG
Proficiency in data preprocessing, feature engineering, and model evaluation
Strong understanding of ML algorithms: supervised/unsupervised learning, reinforcement learning, and neural networks
Experience building ML models as an ML Engineer or Data Scientist
Proficient in Python, R, Scala, Java, or C++ with well-documented code
Experience with Git for version control and collaboration
Expertise in Apache Spark/Databricks for AI/ML workloads
Experience handling petabyte-scale datasets, data exploration, SQL, data visualization, and GPU-based model development
Experience with cloud-based databases, especially RDS PostgreSQL and pgvector extensions
Experience persisting vectorized text embeddings in Elastic/OpenSearch and vector-enabled RDBMS (pgvector PostgreSQL)
Ability to communicate complex technical concepts to diverse audiences and deliver data-driven presentations
Experience Artificial Intelligence (AI), AI systems or software architecture
NICE TO HAVE
Experience with Advana
MINIMUM QUALIFICATIONS:
Bachelor’s Degree (or Master's degree plus 5 years of required experience)
Active TS Clearance/SCI eligibility
Ability to commute to Falls Church 2-3 days per week
Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases;
Collaborate with cross-functional teams, including data scientists and software engineers to integrate AI solutions developed by other elements of CDAO or the DoD community into Search Portfolio products when appropriate
Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks. Ability to adapt code base to also run using GPU enabled Kubernetes clusters.
Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products
Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization
Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance
Documents and presents requirements, design alternatives, and findings to team members and clients;
Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships; and
Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.
Maintains and guides the development of common libraries and tools used by multiple teams.
Aids in formulating a strategy on how to achieve rapid prototyping
MINIMUM REQUIRED EXPERIENCE:
Experience in machine learning, including NLP, computer vision, and statistical learning theory
-7-10 years with BA/BS
-5 years with MA/MS
Hands-on experience with NLP, LLMs, text embedding, semantic search, generative AI for text, and RAG
Proficiency in data preprocessing, feature engineering, and model evaluation
Strong understanding of ML algorithms: supervised/unsupervised learning, reinforcement learning, and neural networks
Experience building ML models as an ML Engineer or Data Scientist
Proficient in Python, R, Scala, Java, or C++ with well-documented code
Experience with Git for version control and collaboration
Expertise in Apache Spark/Databricks for AI/ML workloads
Experience handling petabyte-scale datasets, data exploration, SQL, data visualization, and GPU-based model development
Experience with cloud-based databases, especially RDS PostgreSQL and pgvector extensions
Experience persisting vectorized text embeddings in Elastic/OpenSearch and vector-enabled RDBMS (pgvector PostgreSQL)
Ability to communicate complex technical concepts to diverse audiences and deliver data-driven presentations
Experience Artificial Intelligence (AI), AI systems or software architecture
NICE TO HAVE
Experience with Advana
MINIMUM QUALIFICATIONS:
Bachelor’s Degree (or Master's degree plus 5 years of required experience)
Active TS Clearance/SCI eligibility
Ability to commute to Falls Church 2-3 days per week
group id: 91127864
